Colorectal Polyp Localization: From Image Restoration to Real-time Detection with Deep Learning-Reference-Cited by-同舟云学术

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Colorectal Polyp Localization: From Image Restoration to Real-time Detection with Deep Learning

Published:2023-05-23 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)
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Author:

Manshadi Mahsa Dehghan¹,Mousavi Milad¹,Golzarian Arian¹,Soltani Madjid²,Mosavi Amir³

Affiliation:

1. K.N. Toosi University of Technology,Department of Mechanical Engineering,Tehran,Iran

2. University of Waterloo,Department of Electrical and Computer Engineering,Ontario,Canada

3. Obuda University,John von Neumann Faculty of Informatics,Budapest,Hungary

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10158523/10158534/10158661.pdf?arnumber=10158661

Reference57 articles.

1. Preparation of image databases for artificial intelligence algorithm development in gastrointestinal endoscopy;cb;Clin Endos,2022

2. Modeling of Tumor Growth Incorporating the Effects of Necrosis and the Effect of Bevacizumab

3. Generative adversarial networks for specular highlight removal in endoscopic images

4. Closed-loop inverse kinematics algorithm with implicit numerical integration;drexler;Acta Polytechnica Hungarica,2017

5. Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance

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. A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology;Information Sciences;2025-01

2. A systematic review of deep learning based image segmentation to detect polyp;Artificial Intelligence Review;2024-01

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