The following represents disclosure information provided by authors of this abstract. The program committee has reviewed all presenting author disclosure reports, identified potential conflicts of interest, and implemented strategies to manage those areas of conflict, where appropriate. All relationships are considered compensated. Relationships are self-held unless otherwise noted. I = Immediate Family Member, Inst = My Institution
 
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Deep learning-based approach to predict multiple genetic mutations in colorectal and lung cancer tissues using hematoxylin and eosin-stained whole-slide images.
 
Teppei Konishi
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Mateusz Grynkiewicz
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Keita Saito
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Takuma Kobayashi
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Akiteru Goto
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Michinobu Umakoshi
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Takashi Iwata
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Hiroshi Nishio
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Yuki Katoh
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Tomonobu Fujita
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Tomoya Matsui
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Masaki Sugawara
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Hiroyuki Sano
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