A novel machine learning-based algorithm to identify and classify lesions and anatomical landmarks in colonoscopy images

Author:

Jheng Ying-Chun,Wang Yen-Po,Lin Hung-En,Sung Kuang-Yi,Chu Yuan-Chia,Wang Huann-Sheng,Jiang Jeng-Kai,Hou Ming-Chih,Lee Fa-Yauh,Lu Ching-LiangORCID

Funder

Taipei Veterans General Hospital

Publisher

Springer Science and Business Media LLC

Subject

Surgery

Cited by 9 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. PolySeg Plus: Polyp Segmentation Using Deep Learning with Cost Effective Active Learning;International Journal of Computational Intelligence Systems;2023-09-14

2. Automatic Detection of Colorectal Polyps with Mixed Convolutions and its Occlusion Testing;Neural Computing and Applications;2023-06-27

3. Development and validation of a deep learning-based algorithm for colonoscopy quality assessment;Surgical Endoscopy;2022-02-07

4. Landmark Detection Based on Human Activity Recognition for Automatic Floor Plan Construction;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2022

5. Colonoscopy Landmark Detection Using Vision Transformers;Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis;2022

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