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A method for morphological feature extraction based on variational auto-encoder : an application to mandible shape
Masato Tsutsumi, View ORCID ProfileNen Saito, Daisuke Koyabu, View ORCID ProfileChikara Furusawa
doi: https://doi.org/10.1101/2022.05.18.492406
Masato Tsutsumi
1Department of Physics, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
Nen Saito
2Graduate School of Integrated Sciences for Life, Hiroshima University, Higashihiroshima, Hiroshima 739-8511, Japan, Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, Okazaki, Aichi 444-8585, Japan and Universal Biology Institute, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
Daisuke Koyabu
3Research and Development Center for Precision Medicine, University of Tsukuba, 1-2 Kasuga, Tsukuba 305-8550, Japan and Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, To Yuen Building, Tat Chee Avenue, Kowloon 999077, Hong Kong
Chikara Furusawa
4Universal Biology Institute, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Center for Biosystem Dynamics Research, RIKEN, 6-2-3 Furuedai, Suita, Osaka 565-0874, Japan

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Posted May 19, 2022.
A method for morphological feature extraction based on variational auto-encoder : an application to mandible shape
Masato Tsutsumi, Nen Saito, Daisuke Koyabu, Chikara Furusawa
bioRxiv 2022.05.18.492406; doi: https://doi.org/10.1101/2022.05.18.492406
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