4 papers
MS-DKC: A Dataset Knowledge Card Framework for Designing and Adapting Medical Image Segmentation Models
Tariq M. Khan, Syed Saud Naqvi, Thantrira Porntaveetus +4
Medical image segmentation is often framed as a search for stronger architectures, but this can obscure a more fundamental question: what does the dataset require from the model? I…
AD-Net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation
Asim Naveed, Syed S. Naqvi, Tariq M. Khan +3
In computer-aided diagnosis tools employed for skin cancer treatment and early diagnosis, skin lesion segmentation is important. However, achieving precise segmentation is challeng…
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…