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

3 citations · 4 across the 5 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.CV2025★ 1 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.IV2024★ 3 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…