IET Image Processing

Papers
(The H4-Index of IET Image Processing is 28. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Medical image segmentation using deep learning: A survey186
Recognizing apple leaf diseases using a novel parallel real‐time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture88
Real‐time automatic helmet detection of motorcyclists in urban traffic using improved YOLOv5 detector74
Novel image encryption by combining dynamic DNA sequence encryption and the improved 2D logistic sine map61
DenseUNet: densely connected UNet for electron microscopy image segmentation56
Identification of plant disease images via a squeeze‐and‐excitation MobileNet model and twice transfer learning56
Retracted: Gesture recognition algorithm based on multi‐scale feature fusion in RGB‐D images56
CNN‐based infrared dim small target detection algorithm using target‐oriented shallow‐deep features and effective small anchor53
Parallel strength Pareto evolutionary algorithm‐II based image encryption52
Retracted: Jointly network image processing: multi‐task image semantic segmentation of indoor scene based on CNN51
Convolutional neural network for smoke and fire semantic segmentation48
Survey of single image super‐resolution reconstruction44
COVID‐19 disease severity assessment using CNN model44
Ring oscillator as confusion – diffusion agent: a complete TRNG drove image security43
Tomato leaf disease classification by exploiting transfer learning and feature concatenation43
Dual branch convolutional neural network for copy move forgery detection42
Efficient symmetric image encryption by using a novel 2D chaotic system42
Unified deep learning approach for prediction of Parkinson's disease39
Advanced framework for highly secure and cloud‐based storage of colour images38
Deep learning algorithm for breast masses classification in mammograms35
Review of surface defect detection of steel products based on machine vision35
Coal gangue detection and recognition algorithm based on deformable convolution YOLOv333
DeepJoint segmentation for the classification of severity‐levels of glioma tumour using multimodal MRI images33
Identification of malnutrition and prediction of BMI from facial images using real‐time image processing and machine learning33
Segmentation of osteosarcoma in MRI images by K‐means clustering, Chan‐Vese segmentation, and iterative Gaussian filtering31
Deep coordinate attention network for single image super‐resolution29
An optimized YOLO‐based object detection model for crop harvesting system28
Defect detection of printed circuit board based on lightweight deep convolution network28
0.066213130950928