GUI-CAD Tool to assist the multiclass classification of mammary pathologies by infrared images
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta scientiarum. Technology (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/60535 |
Resumo: | Infrared thermography is a potential method to improve efficiency for early detection of breast cancer. This technique does not use ionizing radiation and is feasible for screening in men and for detecting changes in young women. In this study, ninety-eight infrared images were used to create a database to develop a computer-aided diagnosis system. Typically, this kind of system is associated with graphical interfaces to facilitate users’ work. In this study, the computer-aided diagnosis was implemented based on statistical classifiers for analysis of four classes: Malignant Tumor, Benign Tumor, Cyst and Healthy. The region of interest was segmented in automatic and semiautomatic ways, which is respectively associated with the Support Vector Machine classifier and Mahalanobis classifier. To evaluate the performance of the proposed classifiers, a confusion matrix was applied to each result obtained. Using the proposed GUI-CAD tool, it was possible to carry out individual and unsupervised classification of patients, with 93% sensitivity. |
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GUI-CAD Tool to assist the multiclass classification of mammary pathologies by infrared imagesGUI-CAD Tool to assist the multiclass classification of mammary pathologies by infrared imagesBreast lesion; breast cancer; thermography; computer-aided diagnosis; user-computer interfaceBreast lesion; breast cancer; thermography; computer-aided diagnosis; user-computer interfaceInfrared thermography is a potential method to improve efficiency for early detection of breast cancer. This technique does not use ionizing radiation and is feasible for screening in men and for detecting changes in young women. In this study, ninety-eight infrared images were used to create a database to develop a computer-aided diagnosis system. Typically, this kind of system is associated with graphical interfaces to facilitate users’ work. In this study, the computer-aided diagnosis was implemented based on statistical classifiers for analysis of four classes: Malignant Tumor, Benign Tumor, Cyst and Healthy. The region of interest was segmented in automatic and semiautomatic ways, which is respectively associated with the Support Vector Machine classifier and Mahalanobis classifier. To evaluate the performance of the proposed classifiers, a confusion matrix was applied to each result obtained. Using the proposed GUI-CAD tool, it was possible to carry out individual and unsupervised classification of patients, with 93% sensitivity.Infrared thermography is a potential method to improve efficiency for early detection of breast cancer. This technique does not use ionizing radiation and is feasible for screening in men and for detecting changes in young women. In this study, ninety-eight infrared images were used to create a database to develop a computer-aided diagnosis system. Typically, this kind of system is associated with graphical interfaces to facilitate users’ work. In this study, the computer-aided diagnosis was implemented based on statistical classifiers for analysis of four classes: Malignant Tumor, Benign Tumor, Cyst and Healthy. The region of interest was segmented in automatic and semiautomatic ways, which is respectively associated with the Support Vector Machine classifier and Mahalanobis classifier. To evaluate the performance of the proposed classifiers, a confusion matrix was applied to each result obtained. Using the proposed GUI-CAD tool, it was possible to carry out individual and unsupervised classification of patients, with 93% sensitivity.Universidade Estadual De Maringá2022-07-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/6053510.4025/actascitechnol.v44i1.60535Acta Scientiarum. Technology; Vol 44 (2022): Publicação contínua; e60535Acta Scientiarum. Technology; v. 44 (2022): Publicação contínua; e605351806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/60535/751375154621Copyright (c) 2022 Acta Scientiarum. Technologyhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessQueiroz, Kamila Fernanda Ferreira da Cunha Araújo, Marcus Costa Dourado, Hugo Lima, Rita de Cássia Fernandes de2022-08-22T17:00:15Zoai:periodicos.uem.br/ojs:article/60535Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2022-08-22T17:00:15Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
GUI-CAD Tool to assist the multiclass classification of mammary pathologies by infrared images GUI-CAD Tool to assist the multiclass classification of mammary pathologies by infrared images |
title |
GUI-CAD Tool to assist the multiclass classification of mammary pathologies by infrared images |
spellingShingle |
GUI-CAD Tool to assist the multiclass classification of mammary pathologies by infrared images Queiroz, Kamila Fernanda Ferreira da Cunha Breast lesion; breast cancer; thermography; computer-aided diagnosis; user-computer interface Breast lesion; breast cancer; thermography; computer-aided diagnosis; user-computer interface |
title_short |
GUI-CAD Tool to assist the multiclass classification of mammary pathologies by infrared images |
title_full |
GUI-CAD Tool to assist the multiclass classification of mammary pathologies by infrared images |
title_fullStr |
GUI-CAD Tool to assist the multiclass classification of mammary pathologies by infrared images |
title_full_unstemmed |
GUI-CAD Tool to assist the multiclass classification of mammary pathologies by infrared images |
title_sort |
GUI-CAD Tool to assist the multiclass classification of mammary pathologies by infrared images |
author |
Queiroz, Kamila Fernanda Ferreira da Cunha |
author_facet |
Queiroz, Kamila Fernanda Ferreira da Cunha Araújo, Marcus Costa Dourado, Hugo Lima, Rita de Cássia Fernandes de |
author_role |
author |
author2 |
Araújo, Marcus Costa Dourado, Hugo Lima, Rita de Cássia Fernandes de |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Queiroz, Kamila Fernanda Ferreira da Cunha Araújo, Marcus Costa Dourado, Hugo Lima, Rita de Cássia Fernandes de |
dc.subject.por.fl_str_mv |
Breast lesion; breast cancer; thermography; computer-aided diagnosis; user-computer interface Breast lesion; breast cancer; thermography; computer-aided diagnosis; user-computer interface |
topic |
Breast lesion; breast cancer; thermography; computer-aided diagnosis; user-computer interface Breast lesion; breast cancer; thermography; computer-aided diagnosis; user-computer interface |
description |
Infrared thermography is a potential method to improve efficiency for early detection of breast cancer. This technique does not use ionizing radiation and is feasible for screening in men and for detecting changes in young women. In this study, ninety-eight infrared images were used to create a database to develop a computer-aided diagnosis system. Typically, this kind of system is associated with graphical interfaces to facilitate users’ work. In this study, the computer-aided diagnosis was implemented based on statistical classifiers for analysis of four classes: Malignant Tumor, Benign Tumor, Cyst and Healthy. The region of interest was segmented in automatic and semiautomatic ways, which is respectively associated with the Support Vector Machine classifier and Mahalanobis classifier. To evaluate the performance of the proposed classifiers, a confusion matrix was applied to each result obtained. Using the proposed GUI-CAD tool, it was possible to carry out individual and unsupervised classification of patients, with 93% sensitivity. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-07-28 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/60535 10.4025/actascitechnol.v44i1.60535 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/60535 |
identifier_str_mv |
10.4025/actascitechnol.v44i1.60535 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/60535/751375154621 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Acta Scientiarum. Technology http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Acta Scientiarum. Technology http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Technology; Vol 44 (2022): Publicação contínua; e60535 Acta Scientiarum. Technology; v. 44 (2022): Publicação contínua; e60535 1806-2563 1807-8664 reponame:Acta scientiarum. Technology (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta scientiarum. Technology (Online) |
collection |
Acta scientiarum. Technology (Online) |
repository.name.fl_str_mv |
Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
||actatech@uem.br |
_version_ |
1799315338056171520 |