Deep Learning in Cervical Cancer Diagnosis: Architecture, Opportunities, and Open Research Challenges
Author:
Affiliation:
1. Faculty of Innovation and Technology, School of Computer Science (SCS), Taylor’s University, Subang Jaya, Malaysia
2. School of Biosciences, Taylor’s University, Subang Jaya, Malaysia
Funder
Ministry of Higher Education (MOHE) under the Fundamental Research Grant Scheme
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10013651.pdf?arnumber=10013651
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