Modified metaheuristics with stacked sparse denoising autoencoder model for cervical cancer classification-Reference-Cited by-同舟云学术

Modified metaheuristics with stacked sparse denoising autoencoder model for cervical cancer classification

Published:2022-10 Issue: Volume:103 Page:108292
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Vaiyapuri Thavavel,Alaskar Haya,Syed Liyakathunisa,Aljohani Eman,Alkhayyat Ahmed,Shankar K.,Kumar Sachin^ORCID

Funder

Ministry of Education and Science of the Russian Federation

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference24 articles.

1. A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images;William;Comput Methods Programs Biomed,2018

2. A comprehensive study on the multi-class cervical cancer diagnostic prediction on pap smear images using a fusion-based decision from ensemble deep convolutional neural network;Hussain;Tissue Cell,2020

3. A pap-smear analysis tool (PAT) for detection of cervical cancer from pap-smear images;William;Biomed Eng Online,2019

4. A review of applications of image analysis and machine learning techniques in automated diagnosis and classification of cervical cancer from pap-smear images;William,2018

5. Texture-based feature extraction of smear images for the detection of cervical cancer;Arya;IET Comput Vis,2018

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