Search Results for author: Kaito Shiku

Found 3 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

Cell Tracking in C. elegans with Cell Position Heatmap-Based Alignment and Pairwise Detection

no code implementations20 Mar 2024 Kaito Shiku, Hiromitsu Shirai, Takeshi Ishihara, Ryoma Bise

Second, we propose a pairwise detection method, which uses the information of detection results at the previous frame for detecting cells at the current frame.

Cell Detection Cell Tracking +1

Counting Network for Learning from Majority Label

1 code implementation20 Mar 2024 Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise

Existing MIL methods are unsuitable for LML due to aggregating confidences, which may lead to inconsistency between the bag-level label and the label obtained by counting the number of instances for each class.

Multiple Instance Learning

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