Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning

Noriaki Hashimoto, Yusuke Takagi, Hiroki Masuda, Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Mai Takeuchi, Takuya Furuta, Keisuke Kawamoto, Kyohei Yamada, Mayuko Moritsubo, Kanako Inoue, Yasumasa Shimasaki, Yusuke Ogura, Teppei Imamoto, Tatsuzo Mishina, Ken Tanaka, Yoshino Kawaguchi, Shigeo Nakamura et al. (3 additional authors not shown)

Abstract: Highlights•Retrieving similar cases of malignant lymphoma with unannotated whole slide images.•Retrieval focusing on tumor regions by attention-based multiple instance learning.•Deep metric learning using the similarity of immunohistochemical staining patterns.•Performance evaluation of 249 cases through subjective experiment by 10 pathologists.