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Harnessing Deep Learning to Analyze Cryptic Morphological Variability of Marchantia polymorpha.
Tomizawa, Yoko; Minamino, Naoki; Shimokawa, Eita; Kawamura, Shogo; Komatsu, Aino; Hiwatashi, Takuma; Nishihama, Ryuichi; Ueda, Takashi; Kohchi, Takayuki; Kondo, Yohei.
Afiliação
  • Tomizawa Y; Quantitative Biology Research Group, Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, 5-1 Higashiyama, Myodaiji-cho, Okazak, Aichii, 444-8787 Japan.
  • Minamino N; Division of Cellular Dynamics, National Institute for Basic Biology, Nishigonaka 38, Myodaiji, Okazaki, Aichi, 444-8585 Japan.
  • Shimokawa E; Graduate School of Biostudies, Kyoto University, Kitashirakawa-Oiwakecho, Sakyo, Kyoto, 606-8502 Japan.
  • Kawamura S; Graduate School of Biostudies, Kyoto University, Kitashirakawa-Oiwakecho, Sakyo, Kyoto, 606-8502 Japan.
  • Komatsu A; Graduate School of Biostudies, Kyoto University, Kitashirakawa-Oiwakecho, Sakyo, Kyoto, 606-8502 Japan.
  • Hiwatashi T; Division of Cellular Dynamics, National Institute for Basic Biology, Nishigonaka 38, Myodaiji, Okazaki, Aichi, 444-8585 Japan.
  • Nishihama R; Graduate School of Biostudies, Kyoto University, Kitashirakawa-Oiwakecho, Sakyo, Kyoto, 606-8502 Japan.
  • Ueda T; Department of Applied Biological Science, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda, Chiba, 278-8510 Japan.
  • Kohchi T; Division of Cellular Dynamics, National Institute for Basic Biology, Nishigonaka 38, Myodaiji, Okazaki, Aichi, 444-8585 Japan.
  • Kondo Y; Department of Basic Biology, SOKENDAI (The Graduate University for Advanced Studies), Nishigonaka 38, Myodaiji, Okazaki, Aichi, 444-8585 Japan.
Plant Cell Physiol ; 64(11): 1343-1355, 2023 Dec 06.
Article em En | MEDLINE | ID: mdl-37797211

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Marchantia / Aprendizado Profundo Tipo de estudo: Prognostic_studies Idioma: En Revista: Plant Cell Physiol Assunto da revista: BOTANICA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Marchantia / Aprendizado Profundo Tipo de estudo: Prognostic_studies Idioma: En Revista: Plant Cell Physiol Assunto da revista: BOTANICA Ano de publicação: 2023 Tipo de documento: Article