A survey on Barrett's esophagus analysis using machine learning-Reference-Cited by-同舟云学术

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A survey on Barrett's esophagus analysis using machine learning

Published:2018-05 Issue: Volume:96 Page:203-213
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

de Souza Luis A.,Palm Christoph,Mendel Robert,Hook Christian,Ebigbo Alanna,Probst Andreas,Messmann Helmut,Weber Silke,Papa João P.

Funder

DFG

Capes/Alexander von Humboldt Foundation

CNPq

FAPESP

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference52 articles.

1. J. Lagergren, P. Lagergren, Oesophageal cancer, BMJ 341, ISSN 0959–8138, URL http://www.bmj.com/content/341/bmj.c6280.

2. Barret's esophagus: a historical perspective, an update on core practicalities and predictions on future evolutions of management;Dent;J. Gastroenterol. Hepatol.,2011

3. Continuing rapid increase in esophageal adenocarcinoma in England and Wales;Lepage;Am. J. Gastroenterol.,2008

4. Development and validation of a classification system to identify high-grade dysplasia and esophageal adenocarcinoma in barretts esophagus using narrow-band imaging;Sharma;Gastroenterology,2016

5. Multimodality endoscopic eradication for neoplastic Barrett oesophagus: results of an European multicentre study (EURO-II);Phoa;Gut,2016

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