Addressing priority challenges in the detection and assessment of colorectal polyps from capsule endoscopy and colonoscopy in colorectal cancer screening using machine learning-Reference-Cited by-同舟云学术

Addressing priority challenges in the detection and assessment of colorectal polyps from capsule endoscopy and colonoscopy in colorectal cancer screening using machine learning

Published:2019-03-05 Issue:sup1 Volume:58 Page:S29-S36
ISSN:0284-186X
Container-title:Acta Oncologica
language:en
Short-container-title:Acta Oncologica

Author:

Blanes-Vidal Victoria¹,Baatrup Gunnar²³,Nadimi Esmaeil S.¹

Affiliation:

1. The Maersk Mc-Kinney Møller Institute, University of Southern Denmark, Odense, Denmark;

2. Department of Surgery, Odense University Hospital, Svendborg, Denmark;

3. Department of Clinical Research, University of Southern Denmark, Odense, Denmark

Funder

Danish Cancer Society

the Research Foundation of the Health Care Region of Southern Denmark

Odense University Hospital Research Foundation

the Research Foundation of University of Southern Denmark

Kraeftens Bekaempelse

Odense Universitetshospital

Syddansk Universitet

Publisher

Informa UK Limited

Subject

Radiology Nuclear Medicine and imaging,Oncology,Hematology,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/0284186X.2019.1584404

Reference20 articles.

1. Features of Adenoma and Colonoscopy Associated With Recurrent Colorectal Neoplasia Based on a Large Community-Based Study

2. Evaluation of the PillCam Colon capsule in the detection of colonic pathology: results of the first multicenter, prospective, comparative study

3. Colon Capsule Endoscopy compared to Conventional Colonoscopy under routine screening conditions

4. Colon capsule endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Guideline

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