Deep learning-based approach to predict multiple genetic mutations in colorectal and lung cancer tissues using hematoxylin and eosin-stained whole-slide images.

Authors

Teppei Konishi

Teppei Konishi

Biomy Inc., Tokyo, Japan

Teppei Konishi , Mateusz Grynkiewicz , Keita Saito , Takuma Kobayashi , Akiteru Goto , Michinobu Umakoshi , Takashi Iwata , Hiroshi Nishio , Yuki Katoh , Tomonobu Fujita , Tomoya Matsui , Masaki Sugawara , Hiroyuki Sano

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Poster Details

Meeting

2023 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Care Delivery and Regulatory Policy

Track

Care Delivery and Quality Care

Sub Track

Clinical Informatics/Advanced Algorithms/Machine Learning

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr 1549)

DOI

10.1200/JCO.2023.41.16_suppl.1549

Abstract #

1549

Poster Bd #

143

Abstract Disclosures

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