| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | sibgrapi.sid.inpe.br | |||
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH | |||
| Identifier | 8JMKD3MGPAW/3PFPUKH | |||
| Repository | sid.inpe.br/sibgrapi/2017/08.21.14.04 | |||
| Last Update | 2017:08.21.14.04.46 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/sibgrapi/2017/08.21.14.04.46 | |||
| Metadata Last Update | 2022:06.14.00.08.53 (UTC) administrator | |||
| DOI | 10.1109/SIBGRAPI.2017.55 | |||
| Citation Key | VogadoVeAnArSiAi:2017:DiLeBl | |||
| Title | Diagnosing Leukemia in Blood Smear Images Using an Ensemble of Classifiers and Pre-trained Convolutional Neural Networks  | |||
| Format | On-line | |||
| Year | 2017 | |||
| Access Date | 2024, May 02 | |||
| Number of Files | 1 | |||
| Size | 5223 KiB | |||
| 2. Context | ||||
| Author | 1 Vogado, Luis Henrique Silva 2 Veras, Rodrigo de Melo Souza 3 Andrade, Alan Ribeiro 4 Araujo, Flavio Henrique Duarte de 5 Silva, Romuere Rodrigues Veloso e 6 Aires, Kelson Romulo Teixeira | |||
| Affiliation | 1 Universidade Federal do Piauí 2 Universidade Federal do Piauí 3 Universidade Federal do Piauí 4 Universidade Federal do Piauí 5 Universidade Federal do Piauí 6 Universidade Federal do Piauí | |||
| 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 | lhvogado@gmail.com | |||
| Conference Name | Conference on Graphics, Patterns and Images, 30 (SIBGRAPI) | |||
| Conference Location | Niterói, RJ, Brazil | |||
| Date | 17-20 Oct. 2017 | |||
| Publisher | IEEE Computer Society | |||
| Publisher City | Los Alamitos | |||
| Book Title | Proceedings | |||
| Tertiary Type | Full Paper | |||
| History (UTC) | 2017-08-21 14:04:46 :: lhvogado@gmail.com -> administrator :: 2022-06-14 00:08:53 :: administrator -> :: 2017 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Version Type | finaldraft | |||
| Keywords | leukemia computer-aided diagnosis convolutional neural networks transfer learning | |||
| Abstract | Leukemia is a worldwide disease. In this paper we demonstrate that it is possible to build an automated, efficient and rapid leukemia diagnosis system. We demonstrate that it is possible to improve the precision of current techniques from the literature using the description power of well-known Convolutional Neural Networks (CNNs). We extract features from a blood smear image using pre-trained CNNs in order to obtain an unique image description. Many feature selection techniques were evaluated and we chose PCA to select the features that are in the final descriptor. To classify the images on healthy and pathological we created an ensemble of classifiers with three individual classification algorithms (Support Vector Machine, Multilayer Perceptron and Random Forest). In the tests we obtained an accuracy rate of 100%. Besides the high accuracy rate, the tests showed that our approach requires less processing time than the methods analyzed in this paper, considering the fact that our approach does not use segmentation to obtain specific cell regions from the blood smear image. | |||
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2017 > Diagnosing Leukemia in... | |||
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Diagnosing Leukemia in... | |||
| 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/3PFPUKH | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3PFPUKH | |||
| Language | en | |||
| Target File | PID4959787.pdf | |||
| User Group | lhvogado@gmail.com | |||
| Visibility | shown | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 | |||
| Next Higher Units | 8JMKD3MGPAW/3PKCC58 8JMKD3MGPEW34M/4742MCS | |||
| Citing Item List | sid.inpe.br/sibgrapi/2017/09.12.13.04 6 | |||
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 | |||
| 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 | |||