Artificial intelligence‐based detection of pharyngeal cancer using convolutional neural networks-Reference-Cited by-同舟云学术

Artificial intelligence‐based detection of pharyngeal cancer using convolutional neural networks

Published:2020-04 Issue:7 Volume:32 Page:1057-1065
ISSN:0915-5635
Container-title:Digestive Endoscopy
language:en
Short-container-title:Digestive Endoscopy

Author:

Tamashiro Atsuko¹,Yoshio Toshiyuki¹²^ORCID,Ishiyama Akiyoshi¹,Tsuchida Tomohiro¹,Hijikata Kazunori¹,Yoshimizu Shoichi¹^ORCID,Horiuchi Yusuke¹,Hirasawa Toshiaki¹²^ORCID,Seto Akira³,Sasaki Toru³,Fujisaki Junko¹,Tada Tomohiro⁴²

Affiliation:

1. Department ofDepartments of GastroenterologyCancer Institute HospitalJapanese Foundation for Cancer Research TokyoJapan

2. Tada Tomohiro Institute of Gastroenterology and Proctology Saitama Japan

3. Department of Head and Neck Cancer Institute Hospital Japanese Foundation for Cancer Research TokyoJapan

4. AI Medical Service Inc. Tokyo Japan

Funder

Daiwa Securities Health Foundation

Uehara Memorial Foundation

Takeda Science Foundation

Publisher

Wiley

Subject

Gastroenterology,Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/den.13653

Reference32 articles.

1. Surgical Treatment for Hypopharynx Carcinoma: Feasibility, Mortality, and Results

2. Hypopharyngeal Squamous Cell Carcinoma: Treatment Results in 138 Consecutively Admitted Patients

3. Early Detection of Superficial Squamous Cell Carcinoma in the Head and Neck Region and Esophagus by Narrow Band Imaging: A Multicenter Randomized Controlled Trial

4. Endoscopic diagnosis of pharyngeal carcinoma by NBI

5. Endoscopic submucosal dissection for treatment of early stage hypopharyngeal carcinoma

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