Cervical cancer classification using convolutional neural networks and extreme learning machines-Reference-Cited by-同舟云学术

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Cervical cancer classification using convolutional neural networks and extreme learning machines

Published:2020-01 Issue: Volume:102 Page:643-649
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Ghoneim Ahmed,Muhammad Ghulam,Hossain M. Shamim

Funder

Research and Development (R&D) Program

Ministry of Education, Riyadh, Saudi Arabia

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference50 articles.

1. World Cancer Report 2014. World Health Organization. 2014. pp. Chapter 5.12. ISBN 978-9283204299.

2. Emotion recognition using secure edge and cloud computing;Hossain;Inform. Sci.,2019

3. An investigation of multidimensional voice program parameters in three different databases for voice pathology detection and classification;Al-Nasheri;J. Voice,2017

4. Smart health solution integrating IoT and cloud: a case study of voice pathology monitoring;Muhammad;IEEE Commun. Mag.,2017

5. Emotion recognition using deep learning approach from audio-visual emotional big data;Hossain;Inf. Fusion,2019

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