A Novel Deep Learning-based Whale Optimization Algorithm for Prediction of Breast Cancer
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Archives of Biology and Technology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132021000100602 |
Resumo: | HIGHLIGHTS Novel whale optimization algorithm is proposed for prediction of breast cancer. Deep learning-based WOA adjusts the CNN structure as per maximum detection accuracy. Proposed method achieves 92.4% accuracy in comparison to 90.3%. Validity of method is evaluated with magnifying factors like 40x, 100 x, 200x, 400x. |
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Brazilian Archives of Biology and Technology |
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A Novel Deep Learning-based Whale Optimization Algorithm for Prediction of Breast Canceraccuracybreast cancerconvolutional neural networkdetectiondeep learningwhale optimization algorithmHIGHLIGHTS Novel whale optimization algorithm is proposed for prediction of breast cancer. Deep learning-based WOA adjusts the CNN structure as per maximum detection accuracy. Proposed method achieves 92.4% accuracy in comparison to 90.3%. Validity of method is evaluated with magnifying factors like 40x, 100 x, 200x, 400x.Instituto de Tecnologia do Paraná - Tecpar2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132021000100602Brazilian Archives of Biology and Technology v.64 2021reponame:Brazilian Archives of Biology and Technologyinstname:Instituto de Tecnologia do Paraná (Tecpar)instacron:TECPAR10.1590/1678-4324-2021200221info:eu-repo/semantics/openAccessRana,PoonamGupta,Pradeep KumarSharma,Vineeteng2021-04-05T00:00:00Zoai:scielo:S1516-89132021000100602Revistahttps://www.scielo.br/j/babt/https://old.scielo.br/oai/scielo-oai.phpbabt@tecpar.br||babt@tecpar.br1678-43241516-8913opendoar:2021-04-05T00:00Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar)false |
dc.title.none.fl_str_mv |
A Novel Deep Learning-based Whale Optimization Algorithm for Prediction of Breast Cancer |
title |
A Novel Deep Learning-based Whale Optimization Algorithm for Prediction of Breast Cancer |
spellingShingle |
A Novel Deep Learning-based Whale Optimization Algorithm for Prediction of Breast Cancer Rana,Poonam accuracy breast cancer convolutional neural network detection deep learning whale optimization algorithm |
title_short |
A Novel Deep Learning-based Whale Optimization Algorithm for Prediction of Breast Cancer |
title_full |
A Novel Deep Learning-based Whale Optimization Algorithm for Prediction of Breast Cancer |
title_fullStr |
A Novel Deep Learning-based Whale Optimization Algorithm for Prediction of Breast Cancer |
title_full_unstemmed |
A Novel Deep Learning-based Whale Optimization Algorithm for Prediction of Breast Cancer |
title_sort |
A Novel Deep Learning-based Whale Optimization Algorithm for Prediction of Breast Cancer |
author |
Rana,Poonam |
author_facet |
Rana,Poonam Gupta,Pradeep Kumar Sharma,Vineet |
author_role |
author |
author2 |
Gupta,Pradeep Kumar Sharma,Vineet |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Rana,Poonam Gupta,Pradeep Kumar Sharma,Vineet |
dc.subject.por.fl_str_mv |
accuracy breast cancer convolutional neural network detection deep learning whale optimization algorithm |
topic |
accuracy breast cancer convolutional neural network detection deep learning whale optimization algorithm |
description |
HIGHLIGHTS Novel whale optimization algorithm is proposed for prediction of breast cancer. Deep learning-based WOA adjusts the CNN structure as per maximum detection accuracy. Proposed method achieves 92.4% accuracy in comparison to 90.3%. Validity of method is evaluated with magnifying factors like 40x, 100 x, 200x, 400x. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132021000100602 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132021000100602 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4324-2021200221 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
dc.source.none.fl_str_mv |
Brazilian Archives of Biology and Technology v.64 2021 reponame:Brazilian Archives of Biology and Technology instname:Instituto de Tecnologia do Paraná (Tecpar) instacron:TECPAR |
instname_str |
Instituto de Tecnologia do Paraná (Tecpar) |
instacron_str |
TECPAR |
institution |
TECPAR |
reponame_str |
Brazilian Archives of Biology and Technology |
collection |
Brazilian Archives of Biology and Technology |
repository.name.fl_str_mv |
Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar) |
repository.mail.fl_str_mv |
babt@tecpar.br||babt@tecpar.br |
_version_ |
1750318280869937152 |