International Journal of Imaging Systems and Technology

Papers
(The TQCC of International Journal of Imaging Systems and Technology is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Integrating Multi‐Scale Feature Boundary Module and Feature Fusion With CNN for Accurate Skin Cancer Segmentation and Classification110
Pixel by Pixel Semantic Segmentation Approach on WSI Images for Gastric Gland Segmentation and Gastric Cancer Grade Classification Using MLPXAI Model86
A dual channel and spatial attention network for automatic spine segmentation of MRI images84
Development of preprocessing methods and revised EfficientNet for diabetic retinopathy detection78
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An efficient deep learning algorithm for the segmentation of cardiac ventricles63
TTNet : Three‐Stages Tooth Segmentation Network Based on Tooth Masks in CBCT Images62
Polyp segmentation network based on lightweight model and reverse attention mechanisms61
CITMambaNet : Cross Modality Progressive Fusion ITMamba Network for PET 56
A novel automated depression detection technique using text transcript55
Modified Transformer‐Based Pixel Segmentation for Breast Tumor Detection54
GRASP ‐Net: Grouped Residual Convolution U‐Net With Attention Mechanism and Atrous Spatial Pyramid Pooling for Prostate Zone Segmentation Using 49
Diagnosis of glaucoma from retinal fundus images using disc localization and sequential DNN model48
Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer 47
Few‐shot segmentation for esophageal OCT images based on self‐supervised vision transformer40
Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model40
Multi‐classificationof brain tumor by using deep convolutional neural network model inmagnetic resonance imagingimages38
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A lightweight deep learning model for retinal optical coherence tomography image classification37
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Empowering ultrasound image filtering precision by reducing speckles and preserving edge cues35
Multiloss strategy for breast cancer subtype classification using digital breast tomosynthesis34
Relationship between reduced scattering coefficient and intracranial pressure in clinical patients under different brain edema states33
Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K‐means clustering32
An automatic gastric polyp detection technique using deep learning32
Microaneurysm Detection With Multiscale Attention and Trident RPN31
Hybrid‐Patch‐Alex: A new patch division and deep feature extraction‐based image classification model to detect COVID‐19, heart failure, and other lung conditions using medical im31
VMCUNet: A Vision Mamba‐CNN U‐Net for Tumor Segmentation in Breast Ultrasound Image31
SPICE : Leveraging Soft Probabilistic Causal Intervention for Breast Ultrasound Tumor Segmentation30
Tensor‐Based Weber Feature Representation of Brain CT Images for the Automated Classification of Ischemic Stroke28
OPFSS: A Few‐Shot Medical Image Segmentation Algorithm Based on Optimized Pseudo‐Annotations and Self‐Attention28
Feature selection and classification using bio‐inspired algorithms for the diagnosis of pulmonary emphysema subtypes26
Performance analysis of various denoising filters on intravascular ultrasound coronary artery images26
Retraction: Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm24
Squeeze and multi‐context attention for polyp segmentation24
Two‐dimensional medical image segmentation based on U‐shaped structure23
SSANet—Novel Residual Network for Computer‐Aided Diagnosis of Pulmonary Nodules in Chest Computed Tomography22
GSCCANet : Dual Decoder Network Fusing Edge Focus and Global Channel Attention for Precise Segmentation of Colonic Polyps22
A Novel Framework for Lung Disease Classification Using Multiscale Convolutional Neural Networks With an Integrated Dynamic Attention Mechanism22
Development and validation of an artificial intelligence software for periodontal bone loss in panoramic imaging21
RIBM3DU‐Net: Glioma tumour substructures segmentation in magnetic resonance images using residual‐inception block with modified 3D U‐Net architecture21
U 2 DBA : A Dual‐Scale Boundary‐Aware N21
TPA ‐Seg: Multi‐Class Nucleus Segmentation Using Text Prompts and Cross‐Attention21
Registration‐enhanced multiple instance learning for cervical cancer whole slide image classification20
Identification of Autism Through Fractal Analysis of EEG Signals and Bayesian Optimized Artificial Neural Network20
A modified contrast source inversion method for microwave tomographic imaging of Debye dispersive media19
Rapid Early Screening for Lymphedema Using Kinect19
Multi‐level deep learning based lung cancer classifier for classification based on tumour‐node‐metastasis approach19
A joint autoencoder and classifier deep neural network for AD and MCI classification19
Embedded System‐Based Malaria Detection From Blood Smear Images Using Lightweight Deep Learning Model18
An automatic measurement method for ankle key angles based on point cloud segmentation network18
IGFCNN : An Optimized Deep Learning Model for Covid‐19 Classification18
Deep Depthwise Residual Network for Knee Meniscus Segmentation From Magnetic Resonance Imaging18
Hybrid MRUNet +: Enhanced Multi‐Structure Retinal Segmentation for Optic Cup, Disc, and Vascular Features in Complex Imaging Conditions17
DFABU ‐Net: A Dual Parallel Branch Medical Image Segmentation Model With Attention Mechanism17
Enhanced ECG Signal Classification Using Multi‐Branch Convolutions and Mamba Blocks With State‐Space Models17
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SF Net: A Pyramid‐Based Feature Fusion Convolutional Neural Network With Embedded Squeeze‐and‐Excitation Mechanism for Retinal OCT Image Classification16
Ventricular segmentation and modeling using topological watershed transformation and harmonic state model16
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Preparing a successful Special Issue proposal16
Distributed autoencoder classifier network for small‐scale and scattered COVID‐19 dataset classification16
Efficient multiscale spatial attention3Dabdominal multiorgan segmentation model15
Automated Segmentation of Brain Gliomas in Multimodal MRI Data15
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Prediction of drug amount in Parkinson's disease using hybrid machine learning systems and radiomics features15
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Identification of biological markers in cancer disease using explainable artificial intelligence15
Feature Pyramid Network Based Spatial Attention and Cross‐Level Semantic Similarity for Diseases Segmentation From Capsule Endoscopy Images14
Correction to “Multi‐Branch Sustainable Convolutional Neural Network for Disease Classification”14
A Hybrid Deep Spatiotemporal Attention‐Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals14
SABOS‐Net: Self‐supervised attention based network for automatic organ segmentation of head and neck CT images14
Advanced Image Enhancement and a Lightweight Feature Pyramid Network for Detecting Microaneurysms in Diabetic Retinopathy Screening14
Automated differentiation of skin melanocytes from keratinocytes in high‐resolution histopathology images using a weakly‐supervised deep‐learning framework14
MorphoFormer : Dual‐Branch Dilated Transformer With Pathological Prior Fusion for Cervical Cell Morphology Analysis14
A Novel Network With Spectrum Transformer and Triplet Attention for CT Image Segmentation14
Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm14
Federated learning‐based colorectal cancer classification by convolutional neural networks and general visual representation learning14
A CNN transfer learning‐based approach for segmentation and classification of brain stroke from noncontrast CT images13
Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets13
Using normalized echo state network to detect abnormal ECG patterns13
Automatic semantic segmentation for dental restorations in panoramic radiography images using U‐Net model13
HPKNN: Hyper‐parameter optimized KNN classifier for classification of poikilocytosis13
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A deep learning‐basedx‐rayimaging diagnosis system for classification of tuberculosis,COVID‐19, and pneumonia traits using evolutionary algorithm12
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Denoising smooth‐detail representation of MRI‐SPECT fusion12
An optimal system for increasing the contrast resolution qualities of histopathology images in the wavelet domain12
Sleep disorder identification using wavelet scattering on ECG signals12
Medical image contrast enhancement based on improved sparrow search algorithm12
Multiscale attention network for retinal vein occlusion classification with multicolor image11
A method to measure data complexity of a complicated medical data set11
Feature Subspace Projection Knowledge Distillation for Medical Image Segmentation11
Application of SVM Based on Optimization of Newton Raphson's Algorithm in Non‐Invasive Blood Glucose Detection11
Automated diagnosis of COVID stages using texture‐based Gabor features in variational mode decomposition from CT images11
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A Structure‐Preserving Denoising Diffusion Model for AV45 PET Quantification Without MRI in Alzhei11
Mistral in Radiology: AI ‐Powered Classification of Normal and Abnormal Reports11
An AGRetinaNet for Embryonic Blastomeres Detection and Counting11
A deep conventional neural network model for glioma tumor segmentation11
Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi‐Center Setting11
Segmentation of Brain Tumor Resections in Intraoperative 3D Ultrasound Images Using a Semisupervised Cross nnSU‐Net10
A Dynamic Multi‐Output Convolutional Neural Network for Skin Lesion Classification10
Towards Efficient Brain Tumor Segmentation via a Transformer‐Driven 3D U‐Net10
ARCNet : Adaptive Reconstruction‐Driven Cascaded Network for Deformable Registration of Images With Pathologies10
Non‐Invasive Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Combined Clinical, Radiomics, and Deep Learning Features10
Detection of liver abnormalities—A new paradigm in medical image processing and classification techniques10
An Explainable AI for Blood Image Classification With Dynamic CNN Model Selection Framework10
Structural biomarker‐based Alzheimer's disease detection via ensemble learning techniques10
An efficient quantification of COVID‐19 in chest CT images with improved semantic segmentation using U‐Net deep structure10
PC‐SNet for automated detection of prostate cancer in multiparametric‐magnetic resonance imaging10
Multimodal Connectivity‐Guided Glioma Segmentation From Magnetic Resonance Images via Cascaded 3D Residual U‐Net10
Cross‐Slice Context Modeling via Hybrid Mamba‐ CNN for Universal Lesion Detection in CT Scans9
An effective detection of COVID‐19 using adaptive dual‐stage horse herd bidirectional long short‐term memory framework9
Comprehensive Multitask Ensemble Segmentation and Clinical Interpretation of Pancreatic and Peripancreatic Anatomy With Radiomics and Deep Learning Features9
A Novel Edge‐Enhanced Networks for Optic Disc and Optic Cup Segmentation9
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A joint segmentation and classification framework for COVID‐19 infection segmentation and detection from chest CT images9
Accurate diagnosis of dementia and Alzheimer's with deep network approach based on multi‐channel feature extraction and selection9
Breaking Barriers in Cancer Diagnosis: Super‐Light Compact Convolution Transformer for Colon and Lung Cancer Detection9
Histopathological carcinoma classification using parallel, cross‐concatenated and grouped convolutions deep neural network9
Clinically Aligned AI for Diabetic Retinopathy: Interpretable Grading Based on Lesion Segmentation9
Convolution Block Extension of DCNN for Retinal Vascular Segmentation: Taxonomy and Discussion9
Optimize Neural Fuzzy Systems for High‐Dimensional Breast Cancer Data Analysis: A Deep Learning Approach9
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Effect of physical exercise and noninvasive brain stimulation on cognition and dementia of elderly people with frailty: A randomized study9
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An interpretable deep learning Bayesian optimized random forest framework for the diagnosis of Parkinson's disease in structural magnetic resonance images9
Advancing Cervical Cancer Classification Through a Fusion of CNN and Vision Transformer Models9
MTBAAN: Multi‐View Topological Bilinear Aggregation Attention Network Model for Alzheimer's Disease Diagnosis9
Image processing and machine learning‐based bone fracture detection and classification using X‐ray images9
A region of interest focused Triple UNet architecture for skin lesion segmentation9
Retinal fundus image registration framework using Bayesian integration and asymmetric Gaussian mixture model9
A Hybrid Convolutional Neural Network Model for the Classification of Multi‐Class Skin Cancer9
C‐TUnet: A CNN‐Transformer Architecture‐Based Ultrasound Breast Image Classification Network9
Enhancing level set brain tumor segmentation using fuzzy shape prior information and deep learning8
Machine Learning Framework for Classification of COVID ‐19 Variants Using K‐mer Based DNA Sequenci8
A Metaheuristic‐Based Conductivity Distribution Optimization Method for Accurate Imaging in Electrical Impedance Tomography8
Hybrid 1D CNNBiLSTM Model for Early Parkinson's Disease Detection From Speech Signals8
Pneumonia Image Classification Based on Lightweight Mobile ViT Networks8
Predicting the Early Detection of Breast Cancer Using Hybrid Machine Learning Systems and Thermographic Imaging8
Multiscale Feature Fusion Booster Network for Segmentation of Colorectal Polyp8
Automated knee osteoarthritis severity classification using three‐stage preprocessing method andVGG16architecture8
Advancing Computer‐Assisted Diabetic Retinopathy Grading: A Super Learner Ensemble Technique for Fundus Imagery8
Convolutional Neural Network‐Based CT Image Segmentation of Kidney Tumours8
Multi‐Class Classification of Diabetic Retinopathy Diseases From Fundus Images Using Criss‐Cross Attention Based Deep Residual Squeeze and Excitation Assisted Vision Transformer Model8
Convolutional Block Attention Module and Parallel Branch Architectures for Cervical Cell Classification8
Assessment of magnetic resonance imaging and histopathological changes in chordoid glioma: A retrospective analysis of 13 cases8
Attention augmented residual autoencoder for efficient polyp segmentation8
Improving Image Quality of Thin‐Slice and Low‐ keV Images in Dual‐Energy CT Angiography for Childr8
Colour‐based segmentation using FCM and K‐means clustering for 3D thyroid gland state image classification using deep convolutional neural network structure8
Efficient spine segmentation network based on multi‐scale feature extraction and multi‐dimensional spatial attention8
Real‐time coloring method of laser surgery video based on generative adversarial network7
SpineDeep ‐Net: Dual‐Self‐Attention‐Based Deep Neural Network for Automating Slice Selection and Precise Transverse Plane Localization in Lumbar Spine 7
A Hybrid Deep Learning Approach for Enhanced Classification of Lung Pathologies From Chest X‐Ray7
GLRP: Global and local contrastive learning based on relative position for medical image segmentation on cardiac MRI7
TAU‐EffNetB7 : A Novel Triple Attention U‐Net Approach Using EfficientNetB7 for Enhanced Polyp Segmentation7
Diagnose Like a Doctor: A Vision‐Guided Global–Local Fusion Network for Chest Disease Diagnosis7
SOCR‐YOLO: Small Objects Detection Algorithm in Medical Images7
Enhanced Deformation Vector Field Generation With Diffusion Models and Mamba‐Based Network for Registration Performance Enhancement7
Feature Derivative‐Based Pixel Segmentation Method for Detecting Lung Tumors From CT Images7
BATU: A Workflow for Multi‐Network Ensemble Learning in Cross‐Dataset Generalization of Skin Lesion Analysis7
A new medical image enhancement algorithm using adaptive parameters7
MacD‐Net: An automatic guided‐ensemble approach for macular pathology detection using optical coherence tomography images7
Advanced imaging system for brain tumor automatic classification from MRI images using HOG and BOF feature extraction approaches7
A Lightweight Statistical Multi‐Feature Adaptive Attention Network for Dermoscopic Image Segmentation7
Recognizing of Vocal Fold Disorders From High Speed Video: Use of Spatio‐Temporal Deep Neural Networks7
Real‐time small bowel visualization quality assessment in wireless capsule endoscopy images using different lightweight embeddable models7
Fusing feature and output space for unsupervised domain adaptation on medical image segmentation7
CFIFusion: Dual‐Branch Complementary Feature Injection Network for Medical Image Fusion7
Lung lobe segmentation in computed tomography images based on multi‐feature fusion and ensemble learning framework7
COVID‐19 lung infection segmentation from chest CT images based on CAPA‐ResUNet7
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Application program interface for automatic segmentation of retinal layers and fluids in Optical Coherence Tomography ‐ Neovascular Age related Macular degeneration retinal images using dee7
Improving Stroke Segmentation and Classification Performance Using a Goal‐Oriented Deep Learning Framework7
Discriminative Consistency Semi‐Supervised Carotid Ultrasound Plaque Segmentation by Exploiting Global Context7
FPUNet : A Multi‐Level Residual Fractional Domain Transformer Network for Ischemic Stroke Image Segmentation6
Deep Learning and Handcrafted Features for Thyroid Nodule Classification6
AlexNet‐NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz‐based data augmentation6
A Review of Deep Learning for Respiratory Motion Tracking in 2D and 3D Ultrasound Sequences for Im6
NIRII Fluorescence Image Translation via Latent Space Disentanglement6
Deep learning approach for brain tumor classification using metaheuristic optimization with gene expression data6
An Enhanced Double‐Unet Segmentation Framework for the Early Detection of Diabetic Retinopathy6
MaFMatch : Semi‐Supervised Medical Image Segmentation Network Based on Mixed Data and Feature Augmentation6
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Systematic study and design of multimodal MRI image augmentation for brain tumor detection with loss aware exchange and residual networks6
Interactive CNN and Transformer‐Based Cross‐Attention Fusion Network for Medical Image Classification6
Novel Model of Medical CT Image Segmentation Based on GANs With Residual Neural Networks6
Application of MLEMTV Algorithm in Diffuse Correlation Tomography Blood Flow Imaging6
Multi‐planar 3D knee MRI segmentation via UNet inspired architectures6
OccluDentNet : Self‐Supervised 3D Tooth Segmentation via MambaTrans 6
A Novel Transfer Learning Approach for Skin Cancer Classification on ISIC 2024 3D Total Body Photo6
Adaptive Binary Focal Loss: Enhancing Radiograph Image Classification With Balanced Specificity and Sensitivity6
Comprehensive Experimentation of Pretrained Models on Slice‐Based Classification of Interstitial Lung Disease Patterns6
Intelligent MRI diagnosis of neurological alterations in infants from 4 to 12 months6
MAUNet: Polyp segmentation network based on multiscale feature fusion of attention U‐shaped network structure6
Deep learning based Glaucoma Network Classification (GNC) using retinal images6
HCN: Hybrid Capsule Network for Fetal Plane Classification in Ultrasound Images6
Robust Segmentation of Skin Lesions via Confidence‐Guided ConvLSTM Integrated With Advanced Curriculum Strategies6
ORYX‐MRSI: A fully‐automated open‐source software for proton magnetic resonance spectroscopic imaging data analysis6
Advanced Machine Learning and Deep Learning Approaches for Accurate Epileptic Seizure Detection Using EEG Signals6
Dual‐Path Multi‐Scale CNN for Precise Classification of Non‐Small Cell Lung Cancer6
Enhancing Lung Cancer Screening With an Automated Deep Learning System: A Resource‐Efficient Approach6
Unsupervised Domain Adaptation for Simultaneous Segmentation and Classification of the Retinal Arteries and Veins6
Constructing brain functional networks with adaptive manifold regularization for early mild cognitive impairment6
Improved GAN for image resolution enhancement using ViT for breast cancer detection6
Privacy preserved collaborative transfer learning model with heterogeneous distributed data for brain tumor classification5
Diagnosing of Parkinson's disease based on hand drawing analysis using Bi‐Directional LSTM equipped with fuzzy inferential soft‐max classifier5
Hybrid Wavelet‐Deep Learning Framework for Fluorescence Microscopy Images Enhancement5
A Center‐Border Dual‐Branch Network With Dynamic Weighted Fusion for Breast Cancer Histopathology Image Classification5
Accurate and fast extraction of adhesive cells based on concave points detection and matching5
Total variation‐based ultrasound image despeckling using method noise thresholding in non‐subsampled contourlet transform5
Robust nuclei segmentation with encoder‐decoder network from the histopathological images5
CS U‐ NET : A Medical Image Segmentation Method Integrating Spatial and Contextual Attention Mechanisms Based on U‐ 5
An improved semantic segmentation for breast lesion from dynamic contrast enhanced MRI images using deep learning5
Improved Brain Tumor Segmentation With SegFormer : A Transformer‐Based Architecture for Cross‐Dataset Generalization5
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CAS‐GAN: A Novel Generative Adversarial Network‐Based Architecture for Coronary Artery Segmentation5
SAtUNet: Series atrous convolution enhanced U‐Net for lung nodule segmentation5
Federated Transfer Learning for Lung Disease Detection5
Detection and classification of large bowel obstruction from X‐ray images using machine learning algorithms5
Machine Learning Assisted Differential Diagnosis of Pulmonary Nodules Based on 3D Images Reconstructed From CT 5
EDenseNetViT : Leveraging Ensemble Vision Transform Integrated Transfer Learning for Advanced Differentiation and Severity Scoring of Tuberculosis5
Segmentation of the left atrium and proximal pulmonary veins based on dimensional decomposition attention5
XCapsNet: A deep neural network for automated detection of diabetic retinopathy5
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ESFCU‐Net: A Lightweight Hybrid Architecture Incorporating Self‐Attention and Edge Enhancement Mechanisms for Enhanced Polyp Image Segmentation5
Multi‐branch sustainable convolutional neural network for disease classification5
Integrating Cross‐Scale Attention With Atrous Spatial Pyramid Pooling for Accurate Optic Disc and Cup Segmentation5
GLAN: Global Local Attention Network for Thoracic Disease Classification to Enhance Heart Failure Diagnosis5
A Novel Deep Learning Model Based Cancerous Lung Nodules Severity Grading Framework Using CT Images5
Multiscale Dynamic Attention Framework for Skin Lesion Segmentation and Classification5
Examining the classification performance of pre‐trained capsule networks on imbalanced bone marrow cell dataset5
Filter Bank Regularized Riemannian Features Fusion Based on Dempster–Shafer Theory for Small Sample Motor Imagery Classification5
Multimodal MRI‐Based Glioma Segmentation and MGMT Promoter Methylation Status Prediction Using Multitask Learning Architecture5
Using a convolutional neural network model to derive imaging landmarks for lumbar spine numbering on axial magnetic resonance images5
Efficient‐Residual Net—A Hybrid Neural Network for Automated Brain Tumor Detection5
BCUIS‐Net: A breast cancer ultrasound image segmentation network via boundary‐aware and shape feature fusion5
HeCapsNet: An enhanced capsule network for automated heel disease diagnosis using lateral foot X‐Ray images5
YOLOv5 based detector for eight different urine particles components on single board computer5
CBAM Attention Gate‐Based Lightweight Deep Neural Network Model for Improved Retinal Vessel Segmentation5
Detection of Plus Disease in Retinopathy of Prematurity Using Deep Learning Models: Evaluating Vision Transformers and ResNet Architectures5
Issue Information5
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