| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | sibgrapi.sid.inpe.br | |||
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH | |||
| Identifier | 8JMKD3MGPEW34M/43AH6HP | |||
| Repository | sid.inpe.br/sibgrapi/2020/09.24.19.20 | |||
| Last Update | 2020:09.24.19.20.59 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/sibgrapi/2020/09.24.19.20.59 | |||
| Metadata Last Update | 2022:06.14.00.00.05 (UTC) administrator | |||
| DOI | 10.1109/SIBGRAPI51738.2020.00029 | |||
| Citation Key | Paz-SotoHeroFernDíaz:2020:AuClEr | |||
| Title | Automatic Classification of Erythrocytes Using Artificial Neural Networks and Integral Geometry-Based Functions  | |||
| Format | On-line | |||
| Year | 2020 | |||
| Access Date | 2024, Sep. 17 | |||
| Number of Files | 1 | |||
| Size | 609 KiB | |||
| 2. Context | ||||
| Author | 1 Paz-Soto, Yaima 2 Herold-Garcia, Silena 3 Fernandes, Leandro A. F. 4 Díaz-Matos, Saul | |||
| Affiliation | 1 Universidad de Guántanamo 2 Universidad de Oriente 3 Universidade Federal Fluminense 4 Universidad de Oriente | |||
| Editor | Musse, Soraia Raupp Cesar Junior, Roberto Marcondes Pelechano, Nuria Wang, Zhangyang (Atlas) | |||
| e-Mail Address | laffernandes@ic.uff.br | |||
| Conference Name | Conference on Graphics, Patterns and Images, 33 (SIBGRAPI) | |||
| Conference Location | Porto de Galinhas (virtual) | |||
| Date | 7-10 Nov. 2020 | |||
| Publisher | IEEE Computer Society | |||
| Publisher City | Los Alamitos | |||
| Book Title | Proceedings | |||
| Tertiary Type | Full Paper | |||
| History (UTC) | 2020-09-24 19:20:59 :: laffernandes@ic.uff.br -> administrator :: 2022-06-14 00:00:05 :: administrator -> laffernandes@ic.uff.br :: 2020 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Version Type | finaldraft | |||
| Keywords | sickle cell disease integral geometry artificial neural networks shape descriptor classification | |||
| Abstract | The red blood cell deformation caused by disorders like sickle cell disease can be assessed by observing blood samples under a microscope. This manual process is cumbersome and prone to errors but can be supported by automated techniques that allow red blood cells to be classified according to the shape they present. There are proposals in the literature that use functions based on integral geometry to obtain a description of the cells' contour before performing classification, reaching 96.16% accuracy with the use of the k-Nearest Neighbor (KNN) classifier. In those approaches, the classification-confusion cases persist mainly in the classes of most significant interest, which are those related to the detection of deformed cells. In this work, we use artificial neural networks-based classifiers, trained with the characteristics obtained from integral geometry-based functions, to classify erythrocytes into normal, sickle, and other deformations classes. Our proposal achieves accuracy of 98.40%. This result is superior to those of previous studies concerning the classes of greatest interest. Also, our approach is computationally more efficient than previous works, making it suitable for supporting medical follow-up diagnosis of sickle cell disease. | |||
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2020 > Automatic Classification of... | |||
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Automatic Classification of... | |||
| 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/8JMKD3MGPEW34M/43AH6HP | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/43AH6HP | |||
| Language | en | |||
| Target File | Paper 43.pdf | |||
| User Group | laffernandes@ic.uff.br | |||
| Visibility | shown | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 | |||
| Next Higher Units | 8JMKD3MGPEW34M/43G4L9S 8JMKD3MGPEW34M/4742MCS | |||
| Citing Item List | sid.inpe.br/sibgrapi/2020/10.28.20.46 24 sid.inpe.br/banon/2001/03.30.15.38.24 4 sid.inpe.br/sibgrapi/2022/06.10.21.49 2 | |||
| 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 | |||
| 7. Description control | ||||
| e-Mail (login) | laffernandes@ic.uff.br | |||
| update | ||||