3 papers
cs.CV2025
AnatomicalNets: A Multi-Structure Segmentation and Contour-Based Distance Estimation Pipeline for Clinically Grounded Lung Cancer T-Staging
Saniah Kayenat Chowdhury, Rusab Sarmun, Muhammad E. H. Chowdhury +4
Accurate tumor staging in lung cancer is crucial for prognosis and treatment planning and is governed by explicit anatomical criteria under fixed guidelines. However, most existing…
cs.CV2025
CASR-Net: An Image Processing-focused Deep Learning-based Coronary Artery Segmentation and Refinement Network for X-ray Coronary Angiogram
Alvee Hassan, Rusab Sarmun, Muhammad E. H. Chowdhury +4
Early detection of coronary artery disease (CAD) is critical for reducing mortality and improving patient treatment planning. While angiographic image analysis from X-rays is a com…
eess.IV2025
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…