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

•Present an optimal SSDAE to classify cervical cancer on pap smear images.•Employ Kapur's entropy segmentation and efficientnet feature extraction.•Propose modified firefly optimization algorithm for hyperparameter tuning.•Validate the performance of proposed model on Herlev database. Cervical...

Full description

Saved in:

Bibliographic Details
Published in:	Computers & electrical engineering Vol. 103; p. 108292
Main Authors:	Vaiyapuri, Thavavel, Alaskar, Haya, Syed, Liyakathunisa, Aljohani, Eman, Alkhayyat, Ahmed, Shankar, K., Kumar, Sachin
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.10.2022
Subjects:	Cervical cancer Computer aided diagnosis Computer vision Decision making Deep neural network Image-guided intervention Medical imaging Pap smear images Computer vision Deep neural network Pap smear images Medical imaging Decision making Image-guided intervention Computer aided diagnosis Cervical cancer
ISSN:	0045-7906, 1879-0755
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!