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Daiichi-Sankyo (Japan)

Japan

3 papers here20 citations across 3
fields
  • astro-ph.IM2
  • cs.LG1
ROR 027y26122OpenAlex

affiliations via OpenAlex

output
20202022
most citedDeep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified

13 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • A. Takeda2 · h 14
  • H. Kitamura2 · h 31
  • H. Uchida2 · h 27
  • I. Kurachi2 · h 12
  • K. Hagino2 · h 39
  • K. Kayama2 · h 4
  • K. Mori2 · h 35
  • K. Yasutomi2 · h 22
  • Mitsuki Hayashida2 · h 3
  • M. Kitajima2 · h 3
  • M. Yukumoto2 · h 4
  • S. Kawahito2 · h 38
collaborating institutions
  • High Energy Accelerator Research OrganizationJP2 papers
  • Konan UniversityJP2 papers
  • Kyoto UniversityJP2 papers
  • National Institutes for Quantum Science and TechnologyJP2 papers
  • Shizuoka UniversityJP2 papers
  • Tokyo University of ScienceJP2 papers
  • University of MiyazakiJP2 papers
  • Hitachi (Japan)JP1 paper
  • Kanto Gakuin UniversityJP1 paper
Showing 2020Show all

1 paper · 1 filter

cs.LG2020★ 13 cited

Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified

Takuma Shibahara, Chisa Wada, Yasuho Yamashita +5

Differentiating the intrinsic subtypes of breast cancer is crucial for deciding the best treatment strategy. Deep learning can predict the subtypes from genetic information more ac…

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