Cervical Cancer Diagnosis Using Very Deep Networks Over Different Activation Functions-Reference-Cited by-同舟云学术

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Cervical Cancer Diagnosis Using Very Deep Networks Over Different Activation Functions

Published:2021 Issue: Volume:9 Page:46612-46625
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Adweb Khaled Mabrouk Amer^ORCID,Cavus Nadire,Sekeroglu Boran^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09381396.pdf?arnumber=9381396

Cited by 38 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. An automated cervical cancer diagnosis model using Y-net and ensemble deep learning model;International Journal of System Assurance Engineering and Management;2024-08-28

2. VTCNet: A Feature Fusion DL Model Based on CNN and ViT for the Classification of Cervical Cells;International Journal of Imaging Systems and Technology;2024-08-27

3. A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection;WIREs Data Mining and Knowledge Discovery;2024-07-15

4. DMGM: deformable-mechanism based cervical cancer staging via MRI multi-sequence ^*;Physics in Medicine & Biology;2024-05-30

5. Automatic Classification of Cervical Cells Using Deep Learning Methods;International Journal of Advanced Research in Science, Communication and Technology;2024-05-11

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