2 citations · 6 across the 6 of their papers we have counts for
6 papers
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…
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…
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,…