Showing 2024Show all
2 papers · 1 filter
cs.CV2024
Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer
Kaito Shiku, Kazuya Nishimura, Daiki Suehiro +2
Patient-level diagnosis of severity in ulcerative colitis (UC) is common in real clinical settings, where the most severe score in a patient is recorded. However, previous UC class…
cs.CV2024
Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy Labels
Shumpei Takezaki, Kiyohito Tanaka, Seiichi Uchida
Severity level estimation is a crucial task in medical image diagnosis. However, accurately assigning severity class labels to individual images is very costly and challenging. Con…