Machine learning for assisting cervical cancer diagnosis: An ensemble approach-Reference-Cited by-同舟云学术

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Machine learning for assisting cervical cancer diagnosis: An ensemble approach

Published:2020-05 Issue: Volume:106 Page:199-205
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Lu Jiayi,Song Enmin,Ghoneim Ahmed,Alrashoud Mubarak

Funder

King Saud University, Riyadh, Saudi Arabia

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference26 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA Cancer J. Clin.,2018

2. Human papillomavirus and cervical cancer;Schiffman;Lancet,2017

3. Longitudinal study of human papillomavirus persistence and cervical intraepithelial neoplasia grade 2/3: critical role of duration of infection;Rodrïguez;J. Natl. Cancer Inst.,2010

4. Emotion-aware connected healthcare big data towards 5G;Hossain;IEEE Internet Things J.,2017

5. Edge cognitive computing based smart healthcare system;Chen;Future Gener. Comput. Syst.,2018

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