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Artificial intelligence for the detection of esophageal and esophagogastric junctional adenocarcinoma.
Published in:
Journal of Gastroenterology & Hepatology, 2021, v. 36, n. 1, p. 131, doi. 10.1111/jgh.15136
By:
- Iwagami, Hiroyoshi;
- Ishihara, Ryu;
- Aoyama, Kazuharu;
- Fukuda, Hiromu;
- Shimamoto, Yusaku;
- Kono, Mitsuhiro;
- Nakahira, Hiroko;
- Matsuura, Noriko;
- Shichijo, Satoki;
- Kanesaka, Takashi;
- Kanzaki, Hiromitsu;
- Ishii, Tatsuya;
- Nakatani, Yasuki;
- Tada, Tomohiro
Publication type:
Article
Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging.
Published in:
2020
By:
- Horiuchi, Yusuke;
- Aoyama, Kazuharu;
- Tokai, Yoshitaka;
- Hirasawa, Toshiaki;
- Yoshimizu, Shoichi;
- Ishiyama, Akiyoshi;
- Yoshio, Toshiyuki;
- Tsuchida, Tomohiro;
- Fujisaki, Junko;
- Tada, Tomohiro
Publication type:
journal article
Clinical usefulness of a deep learning‐based system as the first screening on small‐bowel capsule endoscopy reading.
Published in:
Digestive Endoscopy, 2020, v. 32, n. 4, p. 585, doi. 10.1111/den.13517
By:
- Aoki, Tomonori;
- Yamada, Atsuo;
- Aoyama, Kazuharu;
- Saito, Hiroaki;
- Fujisawa, Gota;
- Odawara, Nariaki;
- Kondo, Ryo;
- Tsuboi, Akiyoshi;
- Ishibashi, Rei;
- Nakada, Ayako;
- Niikura, Ryota;
- Fujishiro, Mitsuhiro;
- Oka, Shiro;
- Ishihara, Soichiro;
- Matsuda, Tomoki;
- Nakahori, Masato;
- Tanaka, Shinji;
- Koike, Kazuhiko;
- Tada, Tomohiro
Publication type:
Article
Artificial intelligence using a convolutional neural network for automatic detection of small‐bowel angioectasia in capsule endoscopy images.
Published in:
Digestive Endoscopy, 2020, v. 32, n. 3, p. 382, doi. 10.1111/den.13507
By:
- Tsuboi, Akiyoshi;
- Oka, Shiro;
- Aoyama, Kazuharu;
- Saito, Hiroaki;
- Aoki, Tomonori;
- Yamada, Atsuo;
- Matsuda, Tomoki;
- Fujishiro, Mitsuhiro;
- Ishihara, Soichiro;
- Nakahori, Masato;
- Koike, Kazuhiko;
- Tanaka, Shinji;
- Tada, Tomohiro
Publication type:
Article
Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images.
Published in:
Gastric Cancer, 2018, v. 21, n. 4, p. 653, doi. 10.1007/s10120-018-0793-2
By:
- Hirasawa, Toshiaki;
- Aoyama, Kazuharu;
- Tanimoto, Tetsuya;
- Ishihara, Soichiro;
- Shichijo, Satoki;
- Ozawa, Tsuyoshi;
- Ohnishi, Tatsuya;
- Fujishiro, Mitsuhiro;
- Matsuo, Keigo;
- Fujisaki, Junko;
- Tada, Tomohiro
Publication type:
Article
Stratification of gastric cancer risk using a deep neural network.
Published in:
JGH Open, 2020, v. 4, n. 3, p. 466, doi. 10.1002/jgh3.12281
By:
- Nakahira, Hiroko;
- Ishihara, Ryu;
- Aoyama, Kazuharu;
- Kono, Mitsuhiro;
- Fukuda, Hiromu;
- Shimamoto, Yusaku;
- Nakagawa, Kentaro;
- Ohmori, Masayasu;
- Iwatsubo, Taro;
- Iwagami, Hiroyoshi;
- Matsuno, Kenshi;
- Inoue, Shuntaro;
- Matsuura, Noriko;
- Shichijo, Satoki;
- Maekawa, Akira;
- Kanesaka, Takashi;
- Yamamoto, Sachiko;
- Takeuchi, Yoji;
- Higashino, Koji;
- Uedo, Noriya
Publication type:
Article

Found: 6

Artificial intelligence for the detection of esophageal and esophagogastric junctional adenocarcinoma.

Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging.

Clinical usefulness of a deep learning‐based system as the first screening on small‐bowel capsule endoscopy reading.

Artificial intelligence using a convolutional neural network for automatic detection of small‐bowel angioectasia in capsule endoscopy images.

Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images.

Stratification of gastric cancer risk using a deep neural network.