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A deep learning approach for morphological feature extraction based on variational auto-encoder: an application to mandible shape.
Tsutsumi, Masato; Saito, Nen; Koyabu, Daisuke; Furusawa, Chikara.
Afiliação
  • Tsutsumi M; Graduate School of Sciences, The University of Tokyo, 7-3-1 Hongo, Tokyo, 113-0033, Japan.
  • Saito N; Graduate School of Integrated Sciences for Life, Hiroshima University, 1-3-1 Kagamiyama, Higashi-Hiroshima City, Hiroshima, 739-8528, Japan. nensaito@hiroshima-u.ac.jp.
  • Koyabu D; Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, 5-1 Higashiyama, Myodaiji-cho, Okazaki, Aichi, 444-8787, Japan. nensaito@hiroshima-u.ac.jp.
  • Furusawa C; Universal Biology Institute, The University of Tokyo, 7-3-1 Hongo, Tokyo, 113-0033, Japan. nensaito@hiroshima-u.ac.jp.
NPJ Syst Biol Appl ; 9(1): 30, 2023 07 06.
Article em En | MEDLINE | ID: mdl-37407628
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article