Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPAW/3PJ5TCS |
Repository | sid.inpe.br/sibgrapi/2017/09.04.22.16 |
Last Update | 2017:09.04.22.16.45 felipejordaopinheiro@gmail.com |
Metadata | sid.inpe.br/sibgrapi/2017/09.04.22.16.45 |
Metadata Last Update | 2020:02.20.22.06.47 administrator |
Citation Key | AndradePaivSilv:2017:AnImTe |
Title | Análise de Imagens de Termografia Dinâmica para Classificação de Alterações na Mama Usando Séries Temporais  |
Format | On-line |
Year | 2017 |
Access Date | 2021, Jan. 25 |
Number of Files | 1 |
Size | 436 KiB |
Context area | |
Author | 1 Andrade, Felipe Jordão Pinheiro de 2 Paiva, Anselmo Cardoso 3 Silva, Aristófanes Corrêa |
Affiliation | 1 Universidade Federal do Maranhão 2 Universidade Federal do Maranhão 3 Universidade Federal do Maranhão |
Editor | Torchelsen, Rafael Piccin Nascimento, Erickson Rangel do Panozzo, Daniele Liu, Zicheng Farias, Mylène Viera, Thales Sacht, Leonardo Ferreira, Nivan Comba, João Luiz Dihl Hirata, Nina Schiavon Porto, Marcelo Vital, Creto Pagot, Christian Azambuja Petronetto, Fabiano Clua, Esteban Cardeal, Flávio |
e-Mail Address | felipejordaopinheiro@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 30 (SIBGRAPI) |
Conference Location | Niterói, RJ |
Date | Oct. 17-20, 2017 |
Book Title | Proceedings |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Tertiary Type | Undergraduate Work |
History | 2017-09-04 22:16:45 :: felipejordaopinheiro@gmail.com -> administrator :: 2020-02-20 22:06:47 :: administrator -> :: 2017 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | Termografia Dinâmica, Séries Temporais. |
Abstract | With the increase in the number of cases of breast cancer in the last years, the need for auxiliary techniques for the detection of the disease is evident. Dynamic thermography can be used as an auxiliary method to the gold standard, the mammography screening. The thermography exam takes advantage of the fact that the lesions present a higher temperature than the healthy neighboring tissues. In this work, we propose a methodology for the transformation of thermal signals into time series, from which features for the classification task will be extracted. In the paper we compare the K-Star and Support Vector Machine classifiers with results of 95.8% accuracy, 93.6% sensitivity and 95.9% specificity. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPAW/3PJ5TCS |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3PJ5TCS |
Language | pt |
Target File | CameraReady_Sibigrapi_termica.pdf |
User Group | felipejordaopinheiro@gmail.com |
Visibility | shown |
Update Permission | not transferred |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3PJT9LS 8JMKD3MGPAW/3PKCC58 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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