May 2, 2022, 1:11 a.m. | Takahiro Suzuki, Shouhei Hanaoka, Issei Sato

cs.LG updates on arXiv.org arxiv.org

A computer-aided detection (CAD) system based on machine learning is expected
to assist radiologists in making a diagnosis. It is desirable to build CAD
systems for the various types of diseases accumulating daily in a hospital. An
obstacle in developing a CAD system for a disease is that the number of medical
images is typically too small to improve the performance of the machine
learning model. In this paper, we aim to explore ways to address this problem
through a …

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