135 citations · 136 across the 6 of their papers we have counts for
4 papers · 1 filter
TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical Image Segmentation
Shahzaib Iqbal, Tariq M. Khan, Syed S. Naqvi +2
Deep learning has shown great potential for automated medical image segmentation to improve the precision and speed of disease diagnostics. However, the task presents significant d…
LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network for Multifeatures Segmentation
Tariq M Khan, Shahzaib Iqbal, Syed S. Naqvi +2
Retinal diseases can cause irreversible vision loss in both eyes if not diagnosed and treated early. Since retinal diseases are so complicated, retinal imaging is likely to show tw…
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…
Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation
Tariq M. Khan, Muhammad Arsalan, Shahzaib Iqbal +2
Diseases such as diabetic retinopathy and age-related macular degeneration pose a significant risk to vision, highlighting the importance of precise segmentation of retinal vessels…