21 citations · 21 across the 5 of their papers we have counts for
3 papers · 1 filter
Integrating Local Detail and Global Context: A Dual-Input Multi-Task Learning Framework for Bone Tumor Diagnosis
S. M. Nasif Uddin, Rusab Sarmun, Muhammad E. H. Chowdhury +3
Primary bone tumors are rare but clinically aggressive neoplasms whose diagnosis from radiographs is challenged by heterogeneous morphology, subtle lesion margins, and overlapping…
A Two-Stage Deep Learning Framework for Segmentation of Ten Gastrointestinal Organs from Coronal MR Enterography
Ashiqur Rahman, Md. Abu Sayed, Md Sharjis Ibne Wadud +3
Accurate segmentation of gastrointestinal (GI) organs in magnetic resonance enterography (MRE) is critical for diagnosing inflammatory bowel disease (IBD). However, anatomical vari…
Deep Learning-Driven Segmentation of Ischemic Stroke Lesions Using Multi-Channel MRI
Ashiqur Rahman, Muhammad E. H. Chowdhury, Md Sharjis Ibne Wadud +4
Ischemic stroke, caused by cerebral vessel occlusion, presents substantial challenges in medical imaging due to the variability and subtlety of stroke lesions. Magnetic Resonance I…