E-LIB Suche - Ergebnisse für: Aoyama, Kazuharu

1

Application of artificial intelligence using convolutional ..:

Tokai, Yoshitaka ; Yoshio, Toshiyuki ; Aoyama, Kazuharu...
Esophagus. 17 (2020) 3 - p. 250-256 , 2020

Link: https://doi.org/10.1007/..

2

Automatic detection and classification of protruding lesion..:

Saito, Hiroaki ; Aoki, Tomonori ; Aoyama, Kazuharu...
Gastrointestinal Endoscopy. 92 (2020) 1 - p. 144-151.e1 , 2020

Link: https://doi.org/10.1016/..

3

Application of Convolutional Neural Networks for Detection ..:

Inoue, Shuntaro ; Shichijo, Satoki ; Aoyama, Kazuharu...
Clinical and Translational Gastroenterology. 11 (2020) 3 - p. e00154 , 2020

Link: https://doi.org/10.14309..

4

Artificial intelligence for the detection of esophageal and..:

Iwagami, Hiroyoshi ; Ishihara, Ryu ; Aoyama, Kazuharu...
Journal of Gastroenterology and Hepatology. 36 (2020) 1 - p. 131-136 , 2020

Link: https://doi.org/10.1111/..

5

Endoscopic detection and differentiation of esophageal lesi..:

Ohmori, Masayasu ; Ishihara, Ryu ; Aoyama, Kazuharu...
Gastrointestinal Endoscopy. 91 (2020) 2 - p. 301-309.e1 , 2020

Link: https://doi.org/10.1016/..

6

Mo2050 – Novel Computer-Assisted Detection System of Colore..:

Shibata, Junichi ; Ozawa, Tsuyoshi ; Ishihara, Soichiro...
Gastroenterology. 156 (2019) 6 - p. S-937 , 2019

Link: https://doi.org/10.1016/..

7

Artificial intelligence using a convolutional neural networ..:

Tsuboi, Akiyoshi ; Oka, Shiro ; Aoyama, Kazuharu...
Digestive Endoscopy. 32 (2019) 3 - p. 382-390 , 2019

Link: https://doi.org/10.1111/..

8

1020 REAL-TIME COMPUTER-ASSISTED DIAGNOSIS SYSTEM OF COLORE..:

Ozawa, Tsuyoshi ; Ishihara, Soichiro ; Fujishiro, Mitsuhiro...
Gastrointestinal Endoscopy. 89 (2019) 6 - p. AB128 , 2019

Link: https://doi.org/10.1016/..

9

Clinical usefulness of a deep learning‐based system as the ..:

Aoki, Tomonori ; Yamada, Atsuo ; Aoyama, Kazuharu...
Digestive Endoscopy. 32 (2019) 4 - p. 585-591 , 2019

Link: https://doi.org/10.1111/..

10

Automatic detection of erosions and ulcerations in wireless..:

Aoki, Tomonori ; Yamada, Atsuo ; Aoyama, Kazuharu...
Gastrointestinal Endoscopy. 89 (2019) 2 - p. 357-363.e2 , 2019

Link: https://doi.org/10.1016/..

11

Diagnostic outcomes of esophageal cancer by artificial inte..:

Horie, Yoshimasa ; Yoshio, Toshiyuki ; Aoyama, Kazuharu...
Gastrointestinal Endoscopy. 89 (2019) 1 - p. 25-32 , 2019

Link: https://doi.org/10.1016/..

12

Convolutional Neural Network for Differentiating Gastric Ca..:

Horiuchi, Yusuke ; Aoyama, Kazuharu ; Tokai, Yoshitaka...
Digestive Diseases and Sciences. 65 (2019) 5 - p. 1355-1363 , 2019

Link: https://doi.org/10.1007/..

13

Sa1257 SPECIALIST-LEVEL DIAGNOSTIC ACCURACY FOR CANCER INVA..:

Nakagawa, Kentaro ; Ishihara, Ryu ; Aoyama, Kazuharu...
Gastrointestinal Endoscopy. 89 (2019) 6 - p. AB191 , 2019

Link: https://doi.org/10.1016/..

14

Novel computer-assisted diagnosis system for endoscopic dis..:

Ozawa, Tsuyoshi ; Ishihara, Soichiro ; Fujishiro, Mitsuhiro...
Gastrointestinal Endoscopy. 89 (2019) 2 - p. 416-421.e1 , 2019

Link: https://doi.org/10.1016/..

15

Tu2003 APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS COULD D..:

Shichijo, Satoki ; Aoyama, Kazuharu ; Ozawa, Tsuyoshi...
Gastrointestinal Endoscopy. 89 (2019) 6 - p. AB653 , 2019

Link: https://doi.org/10.1016/..