Detecting gastric cancer from video images using convolutional neural networks-Reference-Cited by-同舟云学术

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Detecting gastric cancer from video images using convolutional neural networks

Published:2018-12-21 Issue:2 Volume:31 Page:
ISSN:0915-5635
Container-title:Digestive Endoscopy
language:en
Short-container-title:Digestive Endoscopy

Author:

Ishioka Mitsuaki¹^ORCID,Hirasawa Toshiaki¹,Tada Tomohiro²³⁴

Affiliation:

1. Department of Gastroenterology Cancer Institute Hospital Japanese Foundation for Cancer Research TokyoJapan

2. AI Medical Service Inc. TokyoJapan

3. Department of Surgical Oncology Graduate School of Medicine The University of Tokyo TokyoJapan

4. Tada Tomohiro Institute of Gastroenterology and Proctology Saitama Japan

Publisher

Wiley

Subject

Gastroenterology,Radiology Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/den.13306

Reference5 articles.

1. Training in Early Gastric Cancer Diagnosis Improves the Detection Rate of Early Gastric Cancer

2. Dermatologist-level classification of skin cancer with deep neural networks

3. Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images

4. Tu1141 APPLICATION OF ARTIFICIAL INTELLIGENCE USING CONVOLUTIONAL NEURAL NETWORKS IN THE DETECTION OF ESOPHAGEAL CANCER

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

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