13 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…
Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation
Moin Safdar, Shahzaib Iqbal, Mubeen Ghafoor +4
Medical image segmentation is essential for clinical applications such as disease diagnosis, treatment planning, and disease development monitoring because it provides precise morp…
LFRA-Net: A Lightweight Focal and Region-Aware Attention Network for Retinal Vessel Segmentatio
Mehwish Mehmood, Shahzaib Iqbal, Tariq Mahmood Khan +2
Retinal vessel segmentation is critical for the early diagnosis of vision-threatening and systemic diseases, especially in real-world clinical settings with limited computational r…
LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis
Mehwish Mehmood, Shahzaib Iqbal, Tariq Mahmood Khan +2
The analysis of retinal images for the diagnosis of various diseases is one of the emerging areas of research. Recently, the research direction has been inclined towards investigat…
TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation
Tariq M Khan, Dawn Lin, Shahzaib Iqbal +1
Incorporating modern computer vision techniques into clinical protocols shows promise in improving skin lesion segmentation. The U-Net architecture has been a key model in this are…
Latent fingerprint enhancement for accurate minutiae detection
Abdul Wahab, Tariq Mahmood Khan, Shahzaib Iqbal +3
Identification of suspects based on partial and smudged fingerprints, commonly referred to as fingermarks or latent fingerprints, presents a significant challenge in the field of f…