Automated Scene Classification in Endoscopy Videos Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Automated Scene Classification in Endoscopy Videos Using Convolutional Neural Networks

Published:2024-06-19 Issue: Volume:25 Page:157-161
ISSN:
Container-title:2024 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
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Author:

Liang Xiaolong¹,Chen Qilei¹,Cao Yu¹,Liu Benyuan¹,Chen Shuijiao²,Liu Xiaowei²

Affiliation:

1. Miner School of Computer & Information Sciences, University of Massachusetts Lowell,Lowell,MA,USA,01854

2. Disorders Xiangya Hospital of Central South University,National Clinical Research Center for Geriatric,Department of Gastroenterology,Changsha,Hunan,China,410008

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10614360/10614402/10614445.pdf?arnumber=10614445

Reference33 articles.

1. Global cancer prevention: An important pathway to global health and development

2. Deep Learning: Fundamentals, Theory and Applications

3. Dual-path deep learning reconstruction framework for propagation-based X-ray phase–contrast computed tomography with sparse-view projections

4. Masked Autoencoders for Low-dose CT Denoising

5. Swin-Pose: Swin Transformer Based Human Pose Estimation

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