219 citations · 407 across the 9 of their papers we have counts for
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Phi-SegNet: Phase-Integrated Supervision for Medical Image Segmentation
Shams Nafisa Ali, Taufiq Hasan
Deep learning has substantially advanced medical image segmentation, yet achieving robust generalization across diverse imaging modalities and anatomical structures remains a major…
Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation
Syed Samiul Alam, Samiul Based Shuvo, Shams Nafisa Ali +3
Ocular Toxoplasmosis (OT), is a common eye infection caused by T. gondii that can cause vision problems. Diagnosis is typically done through a clinical examination and imaging, but…
A Robust CNN Framework with Dual Feedback Feature Accumulation for Detecting Pneumonia Opacity from Chest X-ray Images
Md. Jahin Alam, Shams Nafisa Ali, Md. Zubair Hasan
Pneumonia is one of the most acute respiratory diseases having remarkably high prevalence and mortality rate. Chest X-ray (CXR) has been widely utilized for the diagnosis of this d…
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans
Tanvir Mahmud, Md. Jahin Alam, Sakib Chowdhury +4
Rapid and precise diagnosis of COVID-19 is one of the major challenges faced by the global community to control the spread of this overgrowing pandemic. In this paper, a hybrid neu…