Feature Point Based Polyp Tracking in Endoscopic Videos-Reference-Cited by-同舟云学术

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Feature Point Based Polyp Tracking in Endoscopic Videos

Published:2015-07 Issue: Volume: Page:
ISSN:
Container-title:2015 3rd International Conference on Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence
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Author:

Amber Aashish,Iwahori Yuji,Bhuyan M.K.,Woodham Robert J.,Kasugai Kunio

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7335993/7336013/07336078.pdf?arnumber=7336078

Cited by 5 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. UViT-Seg: An Efficient ViT and U-Net-Based Framework for Accurate Colorectal Polyp Segmentation in Colonoscopy and WCE Images;Journal of Imaging Informatics in Medicine;2024-04-26

2. An end-to-end tracking method for polyp detectors in colonoscopy videos;Artificial Intelligence in Medicine;2022-09

3. Training data enhancements for improving colonic polyp detection using deep convolutional neural networks;Artificial Intelligence in Medicine;2021-01

4. Polyp Shape Recovery from Single Endoscope Image using Medical Suture;The Open Bioinformatics Journal;2019-01-31

5. A novel summary report of colonoscopy: timeline visualization providing meaningful colonoscopy video information;International Journal of Colorectal Disease;2018-03-08

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