Artificial Intelligence for Colonoscopy: Past, Present, and Future-Reference-Cited by-同舟云学术

Artificial Intelligence for Colonoscopy: Past, Present, and Future

Published:2022-08 Issue:8 Volume:26 Page:3950-3965
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Tavanapong Wallapak¹^ORCID,Oh JungHwan²^ORCID,Riegler Michael A.³^ORCID,Khaleel Mohammed¹^ORCID,Mittal Bhuvan²,de Groen Piet C.⁴

Affiliation:

1. Iowa State University, Ames, IA, USA

2. University of North Texas, Denton, TX, USA

3. SimulaMet, Oslo, Norway

4. University of Minnesota, Minneapolis, MN, USA

Funder

NIH

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9855434/09739863.pdf?arnumber=9739863

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4. Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps

5. Domain- and task-specific transfer learning for medical segmentation tasks

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