4 accepted papers
Multiple Instance Learning (MIL) has emerged as the dominant paradigm for the analysis of gigapixel-scale Whole Slide Images (WSIs). However, recent methods leveraging guidance from Vision-Language Models often rely on static and universal pathological descriptions. This one-size-fits-all strategy f
Segmentation of lesions in Acute Ischemic Stroke (AIS) patients on Non-Contrast CT (NCCT) scans is pivotal for expedited diagnosis and effective treatment planning. The subtle and 4.5-hour golden treatment window characteristic of AIS lesions on NCCT makes fully automated segmentation more preferred…
The Alberta Stroke Program Early CT Score (AS-PECTS) is a systematic method for assessing the extent of early ischemic changes on non-contrast CT (NCCT) of patients with acute ischemic stroke (AIS). The ASPECTS regions are anatomically and physiologically interconnected, making them suitable for ana…
The use of estimators instead of stochastic gradients for updates has been shown to improve algorithm convergence rates of, but their impact on generalization remains under-explored. In this paper, we investigate how estimators influence generalization. Our focus is on two widely studied problems: s