1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3M4UBD2 |
Repository | sid.inpe.br/sibgrapi/2016/07.18.18.27 |
Last Update | 2016:07.18.18.27.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2016/07.18.18.27.01 |
Metadata Last Update | 2022:06.14.00.08.25 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2016.061 |
Citation Key | FelixFerrOlivMach:2016:Us3DTe |
Title | Using 3D Texture and Margin Sharpness Features on Classification of Small Pulmonary Nodules |
Format | On-line |
Year | 2016 |
Access Date | 2024, May 02 |
Number of Files | 1 |
Size | 409 KiB |
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2. Context | |
Author | 1 Felix, Ailton de Lima Filho 2 Ferreira Junior, José Raniery 3 Oliveira, Marcelo Costa 4 Machado, Aydano Pamponet |
Affiliation | 1 Universidade Federal de Alagoas 2 Universidade de São Paulo 3 Universidade Federal de Alagoas 4 Universidade Federal de Alagoas |
Editor | Aliaga, Daniel G. Davis, Larry S. Farias, Ricardo C. Fernandes, Leandro A. F. Gibson, Stuart J. Giraldi, Gilson A. Gois, João Paulo Maciel, Anderson Menotti, David Miranda, Paulo A. V. Musse, Soraia Namikawa, Laercio Pamplona, Mauricio Papa, João Paulo Santos, Jefersson dos Schwartz, William Robson Thomaz, Carlos E. |
e-Mail Address | aflf@ic.ufal.br |
Conference Name | Conference on Graphics, Patterns and Images, 29 (SIBGRAPI) |
Conference Location | São José dos Campos, SP, Brazil |
Date | 4-7 Oct. 2016 |
Publisher | IEEE Computer Society´s Conference Publishing Services |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2016-07-18 18:27:01 :: aflf@ic.ufal.br -> administrator :: 2016-10-05 14:49:12 :: administrator -> aflf@ic.ufal.br :: 2016 2016-10-14 19:16:17 :: aflf@ic.ufal.br -> administrator :: 2016 2022-06-14 00:08:25 :: administrator -> :: 2016 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | lung cancer small nodules early diagnosis computer-aided diagnosis texture features margin sharpness features classification machine learning |
Abstract | The lung cancer is the reason of a lot of deaths on population around the world. An early diagnosis brings a most curable and simpler treatment options. Due to complexity diagnosis of small pulmonary nodules, Computer-Aided Diagnosis (CAD) tools provides an assistance to radiologist aiming the improvement in the diagnosis. Extracting relevant image features is of great importance for these tools. In this work we extracted 3D Texture Features (TF) and 3D Margin Sharpness Features (MSF) from the Lung Image Database Consortium (LIDC) in order to create a classification model to classify small pulmonary nodules with diameters between 3-10mm. We used three machine learning algorithm: k-Nearest Neighbor (k-NN), Multilayer Perceptron (MLP) and Random Forest (RF). These algorithms were trained by different set of features from the TF and MSF. The classification model with MLP algorithm using the selected features from the integration of TF and MSF achieved the best AUC of 0.820. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2016 > Using 3D Texture... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Using 3D Texture... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPAW/3M4UBD2 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3M4UBD2 |
Language | en |
Target File | PID4357869.pdf |
User Group | aflf@ic.ufal.br |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3M2D4LP 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2016/07.02.23.50 5 sid.inpe.br/sibgrapi/2022/06.10.21.49 2 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume |
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