Výsledky vyhledávání - "Ryoma Matsui"

Akademický článek

Artificial intelligence-based endoscopic diagnosis of colorectal polyps using residual networks.

Autor: Yoriaki Komeda, Hisashi Handa, Ryoma Matsui, Shohei Hatori, Riku Yamamoto, Toshiharu Sakurai, Mamoru Takenaka, Satoru Hagiwara, Naoshi Nishida, Hiroshi Kashida, Tomohiro Watanabe, Masatoshi Kudo

Publikováno v: PLoS ONE, Vol 16, Iss 6, p e0253585 (2021)

Convolutional neural networks (CNNs) are widely used for artificial intelligence (AI)-based image classification. Residual network (ResNet) is a new technology that facilitates the accuracy of image classification by CNN-based AI. In this study, we d

Externí odkaz: https://doaj.org/article/687a9cbefc8e4ec7a8ba48c807a476e4

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Akademický článek

Diphenylanthracene-based amorphous molecular fluorophores for triplet-triplet annihilation upconversion system.

Autor: Shungo Naemura, Ryoma Matsui, Ikumi Matsumoto, Toshifumi Iimori, Hideyuki Nakano

Publikováno v: Chemistry Letters; Apr2024, Vol. 53 Issue 4, p1-4, 4p

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Artificial intelligence-based endoscopic diagnosis of colorectal polyps using residual networks

Autor: Ryoma Matsui, Hiroshi Kashida, Riku Yamamoto, Hisashi Handa, Mamoru Takenaka, Naoshi Nishida, Masatoshi Kudo, Toshiharu Sakurai, Shohei Hatori, Satoru Hagiwara, Tomohiro Watanabe, Yoriaki Komeda

Publikováno v: PLoS ONE
PLoS ONE, Vol 16, Iss 6, p e0253585 (2021)

Convolutional neural networks (CNNs) are widely used for artificial intelligence (AI)-based image classification. Residual network (ResNet) is a new technology that facilitates the accuracy of image classification by CNN-based AI. In this study, we d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abb3c9796c7a473dba3e36dd873f07ec
https://doi.org/10.1371/journal.pone.0253585

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COMPUTER-AIDED DIAGNOSIS (CAD) BASED ON CONVOLUTIONAL NEURAL NETWORK (CNN) SYSTEM USING ARTIFICIAL INTELLIGENCE (AI) FOR COLORECTAL POLYP CLASSIFICATION

Autor: Masatoshi Kudo, Hisashi Handa, Ryoma Matsui, Hiroshi Kashida, Toshiharu Sakurai, Tomohiro Watanabe, Yoriaki Komeda

Publikováno v: ESGE Days 2019.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dbdf98545b8168085ebede541d100958
https://doi.org/10.1055/s-0039-1681181

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Tu1955 COMPUTER-AIDED DIAGNOSIS BASED ON CONVOLUTIONAL NEURAL NETWORK SYSTEM USING ARTIFICIAL INTELLIGENCE FOR COLORECTAL POLYP CLASSIFICATION

Autor: Ryoma Matsui, Masatoshi Kudo, Yoriaki Komeda, Toshiharu Sakurai, Hisashi Handa, Tomohiro Watanabe, Hiroshi Kashida

Publikováno v: Gastrointestinal Endoscopy. 89:AB631

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8a7a77ca1cec393afe6c3bc8ba02a34e
https://doi.org/10.1016/j.gie.2019.03.1099

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