Author

Tomohiro Tada 1

1 Tada Tomohiro institute of Gastroenterology and proctology,Saitama-city,Japan

Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer by magnifying endoscopy with narrow-band imaging

Hiroya Ueyama, Akihito Nagahara, Daiki Abe, Shotaro Oki, Nobuyuki Suzuki, atsushi ikeda, Noboru Yatagai, Yoichi Akazawa, Hiroyuki Komori, Kentaro Izumi, Tsutomu Takeda, Kohei Matsumoto, Kumiko Ueda, Kenshi Matsumoto, Daisuke Asaoka, Mariko Hojo, Takashi Yao, Tomohiro Tada

APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS IN THE DIAGNOSIS OF HELICOBACTER PYLORI INFECTION STATUS BASED ON ENDOSCOPIC IMAGES

Satoki Shichijo, Yuma Endo, Kazuharu Aoyama, Tsuyoshi Ozawa, Hirotoshi Takiyama, Keigo Matsuo, Mitsuhiro Fujishiro, Soichiro Ishihara, Ryu Ishihara, Tomohiro Tada

CAN ARTIFICIAL INTELLIGENCE USING CONVOLUTIONAL NEURAL NETWORKS DIAGNOSE ESOPHAGEAL CANCER

Yoshimasa Horie, Toshiyuki Yoshio, Kazuharu Aoyama, Junko Fujisaki, Tomohiro Tada

AUTOMATIC ANATOMICAL CLASSIFICATION OF COLONOSCOPIC IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORKS

Hiroaki Saito, Tetsuya Tanimoto, Kazuharu Aoyama, Yuma Endo, Toru Okuzono, Kenjiro Suzuki, Yuki Maeda, Hajime Yamaoka, Dai Hirasawa, Tomoki Matsuda, Masato Nakahori, Akemichi Chonan, Tomohiro Tada

NOVEL COMPUTER-ASSISTED SYSTEM FOR THE DETECTION AND CLASSIFICATION OF COLORECTAL POLYPS USING ARTIFICIAL INTELLIGENCE

Tsuyoshi Ozawa, Soichiro Ishihara, Mitsuhiro Fujishiro, Tetsuya Tanimoto, Youichi Kumagai, Satoki Shichijo, Kazuharu Aoyama, Tomohiro Tada

Endocytoscopic observation and deep learning artificial intelligence for esophageal lesions

Youichi Kumagai, Kenro Kawada, Kaiyo Takubo, Tomohiro Tada, Tsuyoshi Ozawa, Erito Mochiki, Hideyuki Ishida

Application of convolutional neural networks for diagnosis of eosinophilic esophagitis based on endoscopic images

Eiko Okimoto, Norihisa Ishimura, Kazuharu Aoyama, Tomohiro Tada, Kyoichi Adachi, Yoshikazu Kinoshita

Application of convolutional neural networks for stratification of the degree of endoscopic atrophy on endoscopic images

Satoki Shichijo, Kazuharu Aoyama, Hiroko Nakahira, Hiromu Fukuda, Masayasu Ohmori, Kenshi Matsuno, Hiroyoshi Iwagami, Ryu Ishihara, Tomohiro Tada

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

Akiyoshi Tsuboi, Shiro Oka, Kazuharu Aoyama, Hiroaki Saito, Tomonori Aoki, Atsuo Yamada, Tomoki Matsuda, Mitsuhiro Fujishiro, Soichiro Ishihara, Masato Nakahori, Kazuhiko Koike, Shinji Tanaka, Tomohiro Tada

NOVEL COMPUTER-AIDED DIAGNOSIS SYSTEM USING CONVOLUTIONAL NEURAL NETWORKS FOR ENDOSCOPIC DISEASE ACTIVITY IN PATIENTS WITH ULCERATIVE COLITIS

Junichi Shibata, Tsuyoshi Ozawa, Soichiro Ishihara, Mitsuhiro Fujishiro, Keigo Matsuo, Hiroaki Saito, Youichi Kumagai, Satoki Shichijo, Kazuharu Aoyama, Tomohiro Tada

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