most citedTESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation

3 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2025

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…

cs.CV20251 cited

LFA-Net: A Lightweight Network with LiteFusion Attention for Retinal Vessel Segmentation

Mehwish Mehmood, Ivor Spence, Muhammad Fahim

Lightweight retinal vessel segmentation is important for the early diagnosis of vision-threatening and systemic diseases, especially in a real-world clinical environment with limit…

cs.CV2025

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…

eess.IV2024

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…

eess.IV20243 cited

TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation

Shahzaib Iqbal, Muhammad Zeeshan, Mehwish Mehmood +2

Early detection of skin cancer relies on precise segmentation of dermoscopic images of skin lesions. However, this task is challenging due to the irregular shape of the lesion, the…