SEENS: Nuclei segmentation in Pap smear images with selective edge enhancement-Reference-Cited by-同舟云学术

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SEENS: Nuclei segmentation in Pap smear images with selective edge enhancement

Published:2021-01 Issue: Volume:114 Page:185-194
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Zhao Meng^ORCID,Wang Hao^ORCID,Han Ying,Wang Xiaokang,Dai Hong-Ning,Sun Xuguo,Zhang Jin,Pedersen Marius

Funder

National Science Foundation of China

R & D Plan in Key Field of Guangdong Province

Major Science and Technology Projects of Tianjin

ERCIM ‘Alain Bensoussan’ Fellowship Programme

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference55 articles.

1. HealthFog: An ensemble deep learning based smart healthcare system for automatic diagnosis of heart diseases in integrated iot and fog computing environments;Tuli;Future Gener. Comput. Syst.,2020

2. Introduction to the special section: convergence of automation technology, biomedical engineering, and health informatics toward the healthcare 4.0;Pang;IEEE Rev. Biomed. Eng.,2018

3. Big data analytics for large-scale wireless networks: Challenges and opportunities;Dai;ACM Comput. Surv.,2019

4. Internet of knowledge;Choi;Future Gener. Comput. Syst.,2020

5. Machine learning for assisting cervical cancer diagnosis: An ensemble approach;Lu;Future Gener. Comput. Syst.,2020

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4. HO-SsNF: heap optimizer-based self-systematized neural fuzzy approach for cervical cancer classification using pap smear images;Frontiers in Oncology;2024-05-01

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