3 papers
cs.CV2026
Uncertainty-Based Ensemble Learning in CMR Semantic Segmentation
Yiwei Liu, Liang Zhong, Lingyi Wen +1
Existing methods derive clinical functional metrics from ventricular semantic segmentation in cardiac cine sequences. While performing well on overall segmentation, they struggle w…
cs.CV2026
Challenges in Deep Learning-Based Small Organ Segmentation: A Benchmarking Perspective for Medical Research with Limited Datasets
Phongsakon Mark Konrad, Andrei-Alexandru Popa, Yaser Sabzehmeidani +5
Accurate segmentation of carotid artery structures in histopathological images is vital for cardiovascular disease research. This study systematically evaluates ten deep learning s…
eess.IV2025
RICAU-Net: Residual-block Inspired Coordinate Attention U-Net for Segmentation of Small and Sparse Calcium Lesions in Cardiac CT
Doyoung Park, Jinsoo Kim, Qi Chang +3
The Agatston score, which is the sum of the calcification in the four main coronary arteries, has been widely used in the diagnosis of coronary artery disease (CAD). However, many…