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Development of novel deep multimodal representation learnin..:
Sato, Masaya
;
Kobayashi, Tamaki
;
Soroida, Yoko
...
Journal of Gastroenterology and Hepatology. 37 (2022) 4 - p. 678-684 , 2022
Link:
https://doi.org/10.1111/jgh.15763
RT Journal T1
Development of novel deep multimodal representation learning‐based model for the differentiation of liver tumors on B‐mode ultrasound images
UL https://suche.suub.uni-bremen.de/peid=cr-10.1111_jgh.15763&Exemplar=1&LAN=DE A1 Sato, Masaya A1 Kobayashi, Tamaki A1 Soroida, Yoko A1 Tanaka, Takashi A1 Nakatsuka, Takuma A1 Nakagawa, Hayato A1 Nakamura, Ayaka A1 Kurihara, Makiko A1 Endo, Momoe A1 Hikita, Hiromi A1 Sato, Mamiko A1 Gotoh, Hiroaki A1 Iwai, Tomomi A1 Tateishi, Ryosuke A1 Koike, Kazuhiko A1 Yatomi, Yutaka PB Wiley YR 2022 SN 0815-9319 SN 1440-1746 JF Journal of Gastroenterology and Hepatology VO 37 IS 4 SP 678 OP 684 LK http://dx.doi.org/https://doi.org/10.1111/jgh.15763 DO https://doi.org/10.1111/jgh.15763 SF ELIB - SuUB Bremen
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