Expert driven semi-supervised elucidation tool for medical endoscopic videos

Author:

Albisser Zeno1,Riegler Michael1,Halvorsen Pål1,Zhou Jiang2,Griwodz Carsten1,Balasingham Ilangko3,Gurrin Cathal2

Affiliation:

1. Simula Research Laboratory, Norway

2. Dublin City University, Ireland

3. University of Oslo, Norway

Funder

EONS

iAD

Publisher

ACM

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Annotation Tools in Gastrointestinal Polyp Annotation;Diagnostics;2022-09-26

2. Extracting and Using Medical Expert Knowledge to Advance in Video Processing for Gynecologic Endoscopy;Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval;2018-06-05

3. From Annotation to Computer-Aided Diagnosis;ACM Transactions on Multimedia Computing, Communications, and Applications;2017-08-08

4. Efficient disease detection in gastrointestinal videos – global features versus neural networks;Multimedia Tools and Applications;2017-07-19

5. A Holistic Multimedia System for Gastrointestinal Tract Disease Detection;Proceedings of the 8th ACM on Multimedia Systems Conference;2017-06-20

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