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cs.CV2025
Enhancing Reliability of Medical Image Diagnosis through Top-rank Learning with Rejection Module
Xiaotong Ji, Ryoma Bise, Seiichi Uchida
In medical image processing, accurate diagnosis is of paramount importance. Leveraging machine learning techniques, particularly top-rank learning, shows significant promise by foc…
cs.CV2025
Instance-wise Supervision-level Optimization in Active Learning
Shinnosuke Matsuo, Riku Togashi, Ryoma Bise +2
Active learning (AL) is a label-efficient machine learning paradigm that focuses on selectively annotating high-value instances to maximize learning efficiency. Its effectiveness c…