Diagnosis using deep-learning artificial intelligence based on the endocytoscopic observation of the esophagus-Reference-Cited by-同舟云学术

Diagnosis using deep-learning artificial intelligence based on the endocytoscopic observation of the esophagus

Published:2018-12-13 Issue:2 Volume:16 Page:180-187
ISSN:1612-9059
Container-title:Esophagus
language:en
Short-container-title:Esophagus

Author:

Kumagai Youichi^ORCID,Takubo Kaiyo,Kawada Kenro,Aoyama Kazuharu,Endo Yuma,Ozawa Tsuyoshi,Hirasawa Toshiaki,Yoshio Toshiyuki,Ishihara Soichiro,Fujishiro Mitsuhiro,Tamaru Jun-ichi,Mochiki Erito,Ishida Hideyuki,Tada Tomohiro

Publisher

Springer Science and Business Media LLC

Subject

Gastroenterology

Link

http://link.springer.com/content/pdf/10.1007/s10388-018-0651-7.pdf

Reference20 articles.

1. Kumagai Y, Monma K, Kawada K. Magnifying chromoendoscopy of the esophagus: in vivo pathological diagnosis using an endocytoscopy system. Endoscopy. 2004;36:590–4.

2. Kumagai Y, Kawada K, Yamazaki S, et al. Endocytoscopic observation for esophageal squamous cell carcinoma: can biopsy histology be omitted? Dis Esophagus. 2009;22:505–12.

3. Kumagai Y, Kawada K, Yamazaki S, et al. Prospective replacement of magnifying endoscopy by a newly developed endocytoscope, the ‘GIF-Y0002’. Dis Esophagus. 2010;23:627–32.

4. Kumagai Y, Kawada K, Yamazaki S, et al. Current status and limitations of the newly developed endocytoscope GIF-Y0002 with reference to its diagnostic performance for common esophageal lesions. J Dig Dis. 2012;13:393–400.

5. Kumagai Y, Kawada K, Yamazaki S, et al. Endocytoscopic observation of esophageal squamous cell carcinoma. Dig Endosc. 2010;22:10–6.

Cited by 82 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid model-based early diagnosis of esophageal disorders using convolutional neural network and refined logistic regression;EURASIP Journal on Image and Video Processing;2024-08-09

2. Squamous Neoplastic Precursor Lesions of the Esophagus;Gastroenterology Clinics of North America;2024-03

3. Application of convolutional neural network-based endoscopic imaging in esophageal cancer or high-grade dysplasia: A systematic review and meta-analysis;World Journal of Gastrointestinal Oncology;2023-11-15

4. Multimode sensing based on optical microcavities;Frontiers of Optoelectronics;2023-10-27

5. Use of artificial intelligence in diagnostic cystoscopy of bladder cancer;Cancer Urology;2023-08-14