Automated detection of ulcers and erosions in capsule endoscopy images using a convolutional neural network-Reference-Cited by-同舟云学术

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Automated detection of ulcers and erosions in capsule endoscopy images using a convolutional neural network

Published:2022-01-17 Issue:3 Volume:60 Page:719-725
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Afonso João,Saraiva Miguel Mascarenhas,Ferreira J. P. S.,Cardoso Hélder,Ribeiro Tiago,Andrade Patrícia,Parente Marco,Jorge Renato N.,Macedo Guilherme

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11517-021-02486-9.pdf

Reference26 articles.

1. Teshima CW, Kuipers EJ, van Zanten SV et al (2011) Double balloon enteroscopy and capsule endoscopy for obscure gastrointestinal bleeding: an updated meta-analysis. J Gastroenterol Hepatol 26:796–801

2. Le Berre C, Trang-Poisson C, Bourreille A (2019) Small bowel capsule endoscopy and treat-to-target in Crohn’s disease: a systematic review. World J Gastroenterol 25:4534–4554

3. Sturm A, Maaser C, Calabrese E et al (2018) ECCO-ESGAR guideline for diagnostic assessment in IBD Part 2: IBD scores and general principles and technical aspects. J Crohn’s Colitis 13:273–284

4. Arimoto J, Endo H, Kato T et al (2016) Clinical value of capsule endoscopy for detecting small bowel lesions in patients with intestinal Behçet’s disease. Dig Endosc 28:179–185

5. Rondonotti E, Pennazio M, Toth E et al (2008) Small-bowel neoplasms in patients undergoing video capsule endoscopy: a multicenter European study. Endoscopy 40:488–495

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