Tu1991 ARTIFICIAL INTELLIGENCE FOR REAL-TIME POLYP LOCALISATION IN COLONOSCOPY WITHDRAWAL VIDEOS-Reference-Cited by-同舟云学术

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Tu1991 ARTIFICIAL INTELLIGENCE FOR REAL-TIME POLYP LOCALISATION IN COLONOSCOPY WITHDRAWAL VIDEOS

Published:2019-06 Issue:6 Volume:89 Page:AB647
ISSN:0016-5107
Container-title:Gastrointestinal Endoscopy
language:en
Short-container-title:Gastrointestinal Endoscopy

Author:

Ahmad Omer F.,Brandao Patrick,Sami Sarmed S.,Mazomenos Evangelos,Rau Anita,Haidry Rehan,Vega Roser,Seward Ed,Vercauteren Tom K.,Stoyanov Danail,Lovat Laurence

Publisher

Elsevier BV

Subject

Gastroenterology,Radiology, Nuclear Medicine and imaging

Cited by 7 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. Highly accurate and fast YOLOv4-based polyp detection;Expert Systems with Applications;2023-12

2. A Novel Gradient-Weighted Voting Approach for Classical and Fuzzy Circular Hough Transforms and Their Application in Medical Image Analysis—Case Study: Colonoscopy;Applied Sciences;2023-08-08

3. On Applying Gradient Based Thresholding on the Canny Edge Detection Results to Improve the Effectiveness of Fuzzy Hough Transform for Colonoscopy Polyp Detection Purposes;New Approaches for Multidimensional Signal Processing;2022-12-03

4. Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image Datasets;Diagnostics;2022-04-04

5. In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos;2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI);2022-03-28

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