Work

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

Year: 2018

Type: article

Source: Gastric Cancer

DOI: 10.1007/s10120-018-0793-2

Authors: Toshiaki Hirasawa, Kazuharu Aoyama, Tetsuya Tanimoto, Soichiro Ishihara, Satoki Shichijo, Tsuyoshi Ozawa, Tatsuya Ohnishi, Mitsuhiro Fujishiro, Keigo Matsuo, Junko Fujisaki, Tomohiro Tada

Institutions: The Cancer Institute Hospital, Japanese Foundation For Cancer Research, Tada Tomohiro The Institute of Gastroenterology & Proctology, AI Medical Service Inc. (Japan), Medical Governance Research Institute, Navitas Clinic, Sanno Hospital, International University of Health and Welfare, Osaka International Cancer Institute, The University of Tokyo, Tokatsu Hospital

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funder: Japan Society for the Promotion of Science

Award: exploratory research of gut microbiota-derived metabolites

OpenAlex ID: W2783201053

FWCI: 38.84

Cites: 36

Cited by: 776

Related to: 10