5 citations · 7 across the 4 of their papers we have counts for
4 papers
CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning
Fatmaelzahraa Ali Ahmed, Muhammad Arsalan, Abdulaziz Al-Ali +2
Understanding surgical scenes can provide better healthcare quality for patients, especially with the vast amount of video data that is generated during MIS. Processing these video…
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…
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation
Tariq M. Khan, Muhammad Arsalan, Antonio Robles-Kelly +1
Image segmentation is an important task in medical imaging. It constitutes the backbone of a wide variety of clinical diagnostic methods, treatments, and computer-aided surgeries.…
A Residual Encoder-Decoder Network for Segmentation of Retinal Image-Based Exudates in Diabetic Retinopathy Screening
Malik A. Manan, Tariq M. Khan, Ahsan Saadat +2
Diabetic retinopathy refers to the pathology of the retina induced by diabetes and is one of the leading causes of preventable blindness in the world. Early detection of diabetic r…