Search Results for author: Kiyohito Tanaka

Found 8 papers, 2 papers with code

Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer

1 code implementation22 Nov 2024 Kaito Shiku, Kazuya Nishimura, Daiki Suehiro, Kiyohito Tanaka, Ryoma Bise

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.

Multiple Instance Learning

Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy Labels

1 code implementation29 Oct 2024 Shumpei Takezaki, Kiyohito Tanaka, Seiichi Uchida

By appropriately using the soft and hard labels in the two techniques, we achieve more accurate sample selection and robust network training.

Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data

no code implementations5 Aug 2022 Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida

This paper proposes a deep Bayesian active-learning-to-rank, which trains a Bayesian convolutional neural network while automatically selecting appropriate pairs for relative annotation.

Active Learning Learning-To-Rank

Cannot find the paper you are looking for? You can Submit a new open access paper.