A FPGA-based embedded system for automatic classification of microcalcifications
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/ICM.2013.6734972 http://hdl.handle.net/11449/227634 |
Resumo: | This paper describes the development of an embedded system that automatically classifies microcalcifications detected on digital mammograms into one of the five types proposed by Mich'ele Le Gal, a classification scheme that allows radiologists to decide whether a breast cancer is malignant or not without the need for surgeries. The hardware part of the developed system is based on an Altera Nios II software processor and the embedded software is based on wavelets and artificial neural networks. We have used an Altera DE2-115 development kit in order to create a custom System-on-Chip (SoC) that has many advantages over common desktop computers. In our tests the system correctly classified 94.90% of test images, proving it can be used as a second opinion by radiologists in breast cancer early diagnosis. © 2013 IEEE. |
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Repositório Institucional da UNESP |
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A FPGA-based embedded system for automatic classification of microcalcificationsThis paper describes the development of an embedded system that automatically classifies microcalcifications detected on digital mammograms into one of the five types proposed by Mich'ele Le Gal, a classification scheme that allows radiologists to decide whether a breast cancer is malignant or not without the need for surgeries. The hardware part of the developed system is based on an Altera Nios II software processor and the embedded software is based on wavelets and artificial neural networks. We have used an Altera DE2-115 development kit in order to create a custom System-on-Chip (SoC) that has many advantages over common desktop computers. In our tests the system correctly classified 94.90% of test images, proving it can be used as a second opinion by radiologists in breast cancer early diagnosis. © 2013 IEEE.Instituto Federal de Educação Ciência e Tecnologia São Paulo, Barretos, SPSao Paulo State University Departamento de Engenharia Elétrica, Ilha Solteira, SPSao Paulo State University Departamento de Ciência de Computação e Estatítica, São José do Rio Preto, SPSao Paulo State University Departamento de Engenharia Elétrica, Ilha Solteira, SPSao Paulo State University Departamento de Ciência de Computação e Estatítica, São José do Rio Preto, SPCiência e Tecnologia São PauloUniversidade Estadual Paulista (UNESP)Dócusse, Tiago Alexandre [UNESP]Da Silva, Alexandre César Rodrigues [UNESP]Pereira, Aledir Silveira [UNESP]Marranghello, Norian [UNESP]2022-04-29T07:14:19Z2022-04-29T07:14:19Z2013-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ICM.2013.67349722013 25th International Conference on Microelectronics, ICM 2013.http://hdl.handle.net/11449/22763410.1109/ICM.2013.67349722-s2.0-84896761190Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2013 25th International Conference on Microelectronics, ICM 2013info:eu-repo/semantics/openAccess2024-07-04T19:11:16Zoai:repositorio.unesp.br:11449/227634Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:18:15.850307Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A FPGA-based embedded system for automatic classification of microcalcifications |
title |
A FPGA-based embedded system for automatic classification of microcalcifications |
spellingShingle |
A FPGA-based embedded system for automatic classification of microcalcifications Dócusse, Tiago Alexandre [UNESP] |
title_short |
A FPGA-based embedded system for automatic classification of microcalcifications |
title_full |
A FPGA-based embedded system for automatic classification of microcalcifications |
title_fullStr |
A FPGA-based embedded system for automatic classification of microcalcifications |
title_full_unstemmed |
A FPGA-based embedded system for automatic classification of microcalcifications |
title_sort |
A FPGA-based embedded system for automatic classification of microcalcifications |
author |
Dócusse, Tiago Alexandre [UNESP] |
author_facet |
Dócusse, Tiago Alexandre [UNESP] Da Silva, Alexandre César Rodrigues [UNESP] Pereira, Aledir Silveira [UNESP] Marranghello, Norian [UNESP] |
author_role |
author |
author2 |
Da Silva, Alexandre César Rodrigues [UNESP] Pereira, Aledir Silveira [UNESP] Marranghello, Norian [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Ciência e Tecnologia São Paulo Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Dócusse, Tiago Alexandre [UNESP] Da Silva, Alexandre César Rodrigues [UNESP] Pereira, Aledir Silveira [UNESP] Marranghello, Norian [UNESP] |
description |
This paper describes the development of an embedded system that automatically classifies microcalcifications detected on digital mammograms into one of the five types proposed by Mich'ele Le Gal, a classification scheme that allows radiologists to decide whether a breast cancer is malignant or not without the need for surgeries. The hardware part of the developed system is based on an Altera Nios II software processor and the embedded software is based on wavelets and artificial neural networks. We have used an Altera DE2-115 development kit in order to create a custom System-on-Chip (SoC) that has many advantages over common desktop computers. In our tests the system correctly classified 94.90% of test images, proving it can be used as a second opinion by radiologists in breast cancer early diagnosis. © 2013 IEEE. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-12-01 2022-04-29T07:14:19Z 2022-04-29T07:14:19Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/ICM.2013.6734972 2013 25th International Conference on Microelectronics, ICM 2013. http://hdl.handle.net/11449/227634 10.1109/ICM.2013.6734972 2-s2.0-84896761190 |
url |
http://dx.doi.org/10.1109/ICM.2013.6734972 http://hdl.handle.net/11449/227634 |
identifier_str_mv |
2013 25th International Conference on Microelectronics, ICM 2013. 10.1109/ICM.2013.6734972 2-s2.0-84896761190 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2013 25th International Conference on Microelectronics, ICM 2013 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128343868964864 |