Polyp Classification Based on Deep Neural Network for Colonoscopic Images-Reference-Cited by-同舟云学术

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Polyp Classification Based on Deep Neural Network for Colonoscopic Images

Published:2020-06-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 The 4th International Conference on Graphics and Signal Processing
language:
Short-container-title:

Author:

Tsai Ming-Hsien¹,Chen Wen-Jan¹,Lin Jen-Yung¹,Lin Guo-Shiang²,Yan Sheng-Lei³

Affiliation:

1. Dept. of Computer Science and Information Engineering, Da-Yeh University, Taiwan

2. Dept. of Computer Science and Information Engineering, National Chin-Yi University of Technology, Taiwan

3. Dept. of Internal Medicine, Chang Bing Show-Chwan Memorial Hospital, Taiwan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3406971.3406977

Reference17 articles.

1. Polypectomy via the Fiberoptic Colonoscope

2. Effect of novel bright image enhanced endoscopy using blue laser imaging (BLI)

3. Improvement in the visibility of colorectal polyps by using blue laser imaging (with video)

4. The ability of a novel blue laser imaging system for the diagnosis of invasion depth of colorectal neoplasms

Cited by 2 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. Gaussian affinity and GIoU-based loss for perforation detection and localization from colonoscopy videos;International Journal of Computer Assisted Radiology and Surgery;2023-03-13

2. Classification of Polyps in Endoscopic Images Using Self-Supervised Structured Learning;IEEE Access;2023

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