International Journal of Imaging Systems and Technology

Papers
(The TQCC of International Journal of Imaging Systems and Technology is 6. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Automatic COVID‐19 CT segmentation using U‐Net integrated spatial and channel attention mechanism93
ME‐Net: Multi‐encoder net framework for brain tumor segmentation80
Classification of Coronavirus (COVID‐19) from X‐ray and CT images using shrunken features78
Brain tumor diagnosis based on metaheuristics and deep learning72
Glaucoma assessment from color fundus images using convolutional neural network59
Future IoT tools for COVID‐19 contact tracing and prediction: A review of the state‐of‐the‐science56
RETRACTED: Novel computer‐aided lung cancer detection based on convolutional neural network‐based and feature‐based classifiers using metaheuristics51
An intelligent fuzzy inference rule‐based expert recommendation system for predictive diabetes diagnosis50
Automatic skin cancer detection in dermoscopy images by combining convolutional neural networks and texture features46
Breast cancer histopathological image classification using attention high‐order deep network43
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm42
Convolutional capsule network for COVID‐19 detection using radiography images41
Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X‐ray images37
Automatic breast cancer detection based on optimized neural network using whale optimization algorithm37
Randomly initialized convolutional neural network for the recognition of COVID‐19 using X‐ray images34
DHS‐CapsNet: Dual horizontal squash capsule networks for lung and colon cancer classification from whole slide histopathological images34
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features34
mRMR‐based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images33
Breast cancer histopathology image classification using kernelized weighted extreme learning machine33
RETRACTED: Implementation of deep neural networks for classifying electroencephalogram signal using fractional S‐transform for epileptic seizure detection32
Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network32
Classification with respect to colon adenocarcinoma and colon benign tissue of colon histopathological images with a new CNN model: MA_ColonNET31
En‐ConvNet: A novel approach for glaucoma detection from color fundus images using ensemble of deep convolutional neural networks28
COLI‐Net: Deep learning‐assisted fully automated COVID‐19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images28
Three‐class classification of brain magnetic resonance images using average‐pooling convolutional neural network27
Early detection of melanoma images using gray level co‐occurrence matrix features and machine learning techniques for effective clinical diagnosis27
Recognition of ischaemia and infection in diabetic foot ulcer: A deep convolutional neural network based approach26
Detection and diagnosis of brain tumors using deep learning convolutional neural networks26
A novel and efficient deep learning approach for COVID‐19 detection using X‐ray imaging modality26
A novel multimodality anatomical image fusion method based on contrast and structure extraction25
A novel approach in multimodality medical image fusion using optimal shearlet and deep learning25
RETRACTED: Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm24
Detecting brain tumors using deep learning convolutional neural network with transfer learning approach23
An end‐to‐end brain tumor segmentation system using multi‐inception‐UNET23
Deeply supervised U‐Net for mass segmentation in digital mammograms22
Transfer learning‐based platform for detecting multi‐classification retinal disorders using optical coherence tomography images22
A deep learning approach for classification of COVID and pneumonia using DenseNet‐20121
Illumination normalized based technique for retinal blood vessel segmentation21
A deep learning model for mass screening of COVID‐1920
Detection and classification of breast cancer from digital mammograms using hybrid extreme learning machine classifier20
Improving medical image fusion method using fuzzy entropy and nonsubsampling contourlet transform20
A lightweight capsule network architecture for detection of COVID‐19 from lung CT scans20
An accurate and noninvasive skin cancer screening based on imaging technique20
A novel machine learning‐based analytical framework for automatic detection of COVID‐19 using chest X‐ray images20
An integrated feature frame work for automated segmentation of COVID‐19 infection from lung CT images19
A new medical image enhancement algorithm using adaptive parameters19
Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets18
Image denoising for magnetic resonance imaging medical images using improved generalized cross‐validation based on the diffusivity function18
A novel improved crow‐search algorithm to classify the severity in digital mammograms18
Nonparametric variational learning of multivariate beta mixture models in medical applications18
Transfer learning networks with skip connections for classification of brain tumors18
Emotion identification by dynamic entropy and ensemble learning from electroencephalogram signals17
Deep transfer learning based hepatitis B virus diagnosis using spectroscopic images17
Intuitionistic fuzzy approach for enhancement of low contrast mammogram images17
Mask RCNN algorithm for nuclei detection on breast cancer histopathological images17
A novel two‐band equilateral wavelet filter bank method for an automated detection of seizure from EEG signals17
Classification of breast cancer histopathological image with deep residual learning17
Diabetic retinopathy severity grading employing quadrant‐based Inception‐V3 convolution neural network architecture17
Automatic classification of severity of COVID‐19 patients using texture feature and random forest based on computed tomography images16
A novel software framework for magnetic particle imaging reconstruction16
Classification of the four‐class motor imagery signals using continuous wavelet transform filter bank‐based two‐dimensional images16
Automatic detection and localization of COVID‐19 pneumonia using axial computed tomography images and deep convolutional neural networks15
Multiple sclerosis identification in brain MRI images using wavelet convolutional neural networks15
A novel hybrid artificial neural network technique for the early skin cancer diagnosis using color space conversions of original images15
The effect of deep feature concatenation in the classification problem: An approach on COVID‐19 disease detection15
Detection and classification of electroencephalogram signals for epilepsy disease using machine learning methods15
Deep learning based Alzheimer's disease early diagnosis using T2w segmented gray matter MRI15
Nonlocal convolutional block attention module VNet for gliomas automatic segmentation15
Skin lesion segmentation based on mask RCNN, Multi Atrous Full‐CNN, and a geodesic method14
SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin lesion segmentation14
Morphological feature extraction and KNG‐CNN classification of CT images for early lung cancer detection14
An automated and fast system to identify COVID‐19 from X‐ray radiograph of the chest using image processing and machine learning14
Automatic detection of eardrum otoendoscopic images in patients with otitis media using hybrid‐based deep models14
Lung cancer detection by using probabilistic majority voting and optimization techniques14
Image processing and machine learning‐based bone fracture detection and classification using X‐ray images13
ECG steganography based on tunable Q‐factor wavelet transform and singular value decomposition13
Detection of pneumonia in chest X‐ray images by using 2D discrete wavelet feature extraction with random forest13
Optimized segmentation and classification for liver tumor segmentation and classification using opposition‐based spotted hyena optimization13
A novel discriminant feature selection–based mutual information extraction from MR brain images for Alzheimer's stages detection and prediction13
A novel receptive field‐regularized V‐net and nodule classification network for lung nodule detection13
NCA‐based hybrid convolutional neural network model for classification of cervical cancer on gauss‐enhanced pap‐smear images13
Deep learning on compressed sensing measurements in pneumonia detection12
Brain tumour classification using siamese neural network and neighbourhood analysis in embedded feature space12
A fast and high frame rate adaptive beamforming using DCT‐based RF‐line recovery in line‐by‐line ultrasound imaging12
A deep learning framework for glaucoma detection based on robust optic disc segmentation and transfer learning12
Analysis of brain‐facial muscle connection in the static fractal visual stimulation12
Optimal weighted hybrid pattern for content based medical image retrieval using modified spider monkey optimization12
An improved framework for polyp image segmentation based on SegNet architecture12
Automatic segmentation of nuclei from pap smear cell images: A step toward cervical cancer screening11
Breast cancer diagnosis from mammographic images using optimized feature selection and neural network architecture11
A deep learning model integrating convolution neural network and multiple kernel K means clustering for segmenting brain tumor in magnetic resonance images11
Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study11
Electroencephalography based imagined alphabets classification using spatial and time‐domain features11
Medical image denoising using optimal thresholding of wavelet coefficients with selection of the best decomposition level and mother wavelet11
AlexNet‐NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz‐based data augmentation11
Mobile‐aided screening system for proliferative diabetic retinopathy11
Cataract grading method based on deep convolutional neural networks and stacking ensemble learning11
Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm11
Deep‐features with Bayesian optimized classifiers for the breast cancer diagnosis11
Content‐based gastric image retrieval using convolutional neural networks10
COVID‐19 vs influenza viruses: A cockroach optimized deep neural network classification approach10
Patch‐based local deep feature extraction for automated skin cancer classification10
A novel automated depression detection technique using text transcript10
Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach10
Intelligent detection and applied research on diabetic retinopathy based on the residual attention network10
Performance analysis of classification and segmentation of cysts in panoramic dental images using convolutional neural network architecture10
Optimized hybrid classifier for diagnosing diabetic retinopathy: Iterative blood vessel segmentation process10
Ten simple rules for reporting machine learning methods implementation and evaluation on biomedical data10
Impulse noise reduction using hybrid neuro‐fuzzy filter with improved firefly algorithm from X‐ray bio‐images10
A comprehensive review on automated systems for severity grading of diabetic retinopathy and macular edema10
Utilizing the spatial frequency domain imaging to investigate change in optical parameters of skin exposed to thermal‐hydrotherapy: Ex‐vivo study9
An enhanced framework for identifying brain tumor using discrete wavelet transform, deep convolutional network, and feature fusion‐based machine learning techniques9
Triple novelty block detection and classification approach for lung tumor analysis9
Magnetic resonance imaging reconstruction via non‐convex total variation regularization9
Multimodal medical image fusion based on the spectral total variation and local structural patch measurement9
A CNN transfer learning‐based approach for segmentation and classification of brain stroke from noncontrast CT images9
LiteCovidNet: A lightweight deep neural network model for detection of COVID‐19 using X‐ray images9
A hybrid feature fusion strategy for early fusion and majority voting for late fusion towards melanocytic skin lesion detection9
Hybrid features and optimization‐driven recurrent neural network for glaucoma detection9
Approaches to preclinical studies with heterogeneous breast phantom using reconstruction and three‐dimensional image processing algorithms for diffuse optical imaging9
Automated diagnosis system for age‐related macular degeneration using hybrid features set from fundus images9
A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage8
Cancer detection using convolutional neural network optimized by multistrategy artificial electric field algorithm8
A novel threshold score based multiclass segmentation technique for brain magnetic resonance images using adaptive opposition slime mold algorithm8
SkinNet‐ENDO: Multiclass skin lesion recognition using deep neural network and Entropy‐Normal distribution optimization algorithm with ELM8
Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder‐decoder network8
COVID‐opt‐aiNet: A clinical decision support system for COVID‐19 detection8
A modified DeepLabV3+ based semantic segmentation of chest computed tomography images for COVID‐19 lung infections8
Detection and diagnosis of COVID‐19 infection in lungs images using deep learning techniques8
Aggregated residual transformation network for multistage classification in diabetic retinopathy8
Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement8
Optimal deep belief network with opposition‐based hybrid grasshopper and honeybee optimization algorithm for lung cancer classification: A DBNGHHB approach8
Automated screening of glaucoma stages from retinal fundus images using BPS and LBP based GLCM features8
Hybrid‐NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis8
Multimodal covid network: Multimodal bespoke convolutional neural network architectures for COVID‐19 detection from chest X‐ray's and computerized tomography scans8
Automatic segmentation system for liver tumors based on the multilevel thresholding and electromagnetism optimization algorithm8
Retinal image enhancement using adaptive histogram equalization tuned with nonsimilar grouping curvelet8
Fuzzy clustering‐based image segmentation techniques used to segment magnetic resonance imaging/computed tomography scan brain tissues: Comparative analysis8
COVSeg‐NET: A deep convolution neural network for COVID‐19 lung CT image segmentation8
A machine learning classification approach based glioma brain tumor detection8
An ensemble model of convolution and recurrent neural network for skin disease classification8
An automatic gastric polyp detection technique using deep learning7
Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine‐learning paradigm7
Multi‐level dilated convolutional neural network for brain tumour segmentation and multi‐view‐based radiomics for overall survival prediction7
Brain tumor detection and patient survival prediction using U‐Net and regression model7
Deep learning‐based automated mitosis detection in histopathology images for breast cancer grading7
Particle swarm optimization‐based liver disorder ultrasound image classification using multi‐level and multi‐domain features7
Retinal vessel segmentation based on an improved deep forest7
Detection of lung tumor using dual tree complex wavelet transform and co‐active adaptive neuro fuzzy inference system classification approach7
Identifying brain regions contributing to Alzheimer's disease using self regulating particle swarm optimization7
Segmentation of tumor using PCA based modified fuzzy C means algorithms on MR brain images7
Rapid head‐pose detection for automated slice prescription of fetal‐brain MRI7
GAN‐segNet: A deep generative adversarial segmentation network for brain tumor semantic segmentation7
Multimodal magnetic resonance imaging for Alzheimer's disease diagnosis using hybrid features extraction and ensemble support vector machines7
A fuzzy logic‐based meningioma tumor detection in magnetic resonance brain images using CANFIS and U‐Net CNN classification7
Differentiation of tumoral and non‐tumoral breast lesions using back reflection diffuse optical tomography: A pilot clinical study7
Random forest and rotation forest ensemble methods for classification of epileptic EEG signals based on improved 1D‐LBP feature extraction7
Machine learning‐based tri‐stage classification of Alzheimer's progressive neurodegenerative disease using PCA and mRMR administered textural, orientational, and spatial features7
3D conditional generative adversarial network‐based synthetic medical image augmentation for lung nodule detection7
Curvelet and fast marching method‐based technique for efficient artifact detection and removal in dermoscopic images7
A novel convolutional neural network‐based approach for brain tumor classification using magnetic resonance images7
TWEEC: Computer‐aided glaucoma diagnosis from retinal images using deep learning techniques7
Detection and diagnosis of brain tumors‐framework using extreme machine learning and CANFIS classification algorithms6
Classification of brain tumor from magnetic resonance images using probabilistic features and possibilistic Hanman–Shannon transform classifier6
Adaptive image denoising for speckle noise images based on fuzzy logic6
Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning6
Medical image contrast enhancement based on improved sparrow search algorithm6
Dementia MRI image classification using transformation technique based on elephant herding optimization with Randomized Adam method for updating the hyper‐parameters6
The influence of the activation function in a capsule network for brain tumor type classification6
Thermal imaging method to evaluate childhood obesity based on machine learning techniques6
A novel intuitionistic fuzzy soft set based colonogram enhancement for polyps localization6
Fusing dual‐tree quaternion wavelet transform and local mesh based features for grading of diabetic retinopathy using extreme learning machine classifier6
Real‐time automated segmentation of breast lesions using CNN‐based deep learning paradigm: Investigation on mammogram and ultrasound6
Genetic‐based adaptive momentum estimation for predicting mortality risk factors for COVID‐19 patients using deep learning6
A hybrid convolutional neural network model to detect COVID‐19 and pneumonia using chest X‐ray images6
Lung segmentation on chest X‐ray images in patients with severe abnormal findings using deep learning6
Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis6
Lung CT image enhancement based on total variational frame and wavelet transform6
Denoising of computed tomography using bilateral median based autoencoder network6
Sparse structure deep network embedding for transforming brain functional network in early mild cognitive impairment classification6
Neuromuscular disease detection based on feature extraction from time–frequency images of EMG signals employing robust hyperbolic Stockwell transform6
Interpretable ensemble deep learning model for early detection of Alzheimer's disease using local interpretable model‐agnostic explanations6
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