5 citations · 12 across the 10 of their papers we have counts for
10 papers
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation
Tariq M Khan, Syed S. Naqvi, Erik Meijering
Segmentation is an important task in a wide range of computer vision applications, including medical image analysis. Recent years have seen an increase in the complexity of medical…
LMBiS-Net: A Lightweight Multipath Bidirectional Skip Connection based CNN for Retinal Blood Vessel Segmentation
Mufassir M. Abbasi, Shahzaib Iqbal, Asim Naveed +3
Blinding eye diseases are often correlated with altered retinal morphology, which can be clinically identified by segmenting retinal structures in fundus images. However, current m…
EDDense-Net: Fully Dense Encoder Decoder Network for Joint Segmentation of Optic Cup and Disc
Mehwish Mehmood, Khuram Naveed, Khursheed Aurangzeb +3
Glaucoma is an eye disease that causes damage to the optic nerve, which can lead to visual loss and permanent blindness. Early glaucoma detection is therefore critical in order to…
Progressive Class-Wise Attention (PCA) Approach for Diagnosing Skin Lesions
Asim Naveed, Syed S. Naqvi, Tariq M. Khan +1
Skin cancer holds the highest incidence rate among all cancers globally. The importance of early detection cannot be overstated, as late-stage cases can be lethal. Classifying skin…
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms
Shahzaib Iqbal, Tariq M. Khan, Syed S. Naqvi +2
In this study, we propose LDMRes-Net, a lightweight dual-multiscale residual block-based computational neural network tailored for medical image segmentation on IoT and edge platfo…
Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learning
Tariq M. Khan, Syed S. Naqvi, Antonio Robles-Kelly +1
Timely and affordable computer-aided diagnosis of retinal diseases is pivotal in precluding blindness. Accurate retinal vessel segmentation plays an important role in disease progr…
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction
Tariq M. Khan, Syed S. Naqvi, Antonio Robles-Kelly +1
Compression of convolutional neural network models has recently been dominated by pruning approaches. A class of previous works focuses solely on pruning the unimportant filters to…
A Residual Encoder-Decoder Network for Segmentation of Retinal Image-Based Exudates in Diabetic Retinopathy Screening
Malik A. Manan, Tariq M. Khan, Ahsan Saadat +2
Diabetic retinopathy refers to the pathology of the retina induced by diabetes and is one of the leading causes of preventable blindness in the world. Early detection of diabetic r…
RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation
Tariq M Khan, Antonio Robles-Kelly, Syed S. Naqvi
Over recent years, increasingly complex approaches based on sophisticated convolutional neural network architectures have been slowly pushing performance on well-established benchm…
Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation
Tariq M. Khan, Syed S. Naqvi, Erik Meijering
Recent progress in encoder-decoder neural network architecture design has led to significant performance improvements in a wide range of medical image segmentation tasks. However,…