Diagnostic ability of artificial intelligence using deep learning analysis of cyst fluid in differentiating malignant from benign pancreatic cystic lesions-Reference-Cited by-同舟云学术

Diagnostic ability of artificial intelligence using deep learning analysis of cyst fluid in differentiating malignant from benign pancreatic cystic lesions

Published:2019-05-03 Issue:1 Volume:9 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Kurita Yusuke,Kuwahara Takamichi,Hara Kazuo,Mizuno Nobumasa,Okuno Nozomi,Matsumoto Shimpei,Obata Masahiro,Koda Hiroki,Tajika Masahiro,Shimizu Yasuhiro,Nakajima Atsushi,Kubota Kensuke,Niwa Yasumasa

Funder

MEXT | Japan Society for the Promotion of Science

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-019-43314-3.pdf

Reference35 articles.

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2. Sahora, K. et al. Branch duct intraductal papillary mucinous neoplasms: does cyst size change the tip of the scale? A critical analysis of the revised international consensus guidelines in a large single-institutional series. Ann Surg 258, 466–475 (2013).

3. Jang, K. T. et al. Clinicopathologic characteristics of 29 invasive carcinomas arising in 178 pancreatic mucinous cystic neoplasms with ovarian-type stroma: implications for management and prognosis. Am J Surg Pathol 39, 179–187 (2015).