| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
| Identifier | 83LX3pFwXQZeBBx/fLCTU |
| Repository | dpi.inpe.br/banon/1999/01.14.11.43 |
| Last Update | 1999:01.18.02.00.00 (UTC) administrator |
| Metadata Repository | sid.inpe.br/banon/2001/03.30.15.53.59 |
| Metadata Last Update | 2022:06.14.00.16.32 (UTC) administrator |
| Citation Key | SoaresConcVian:1998:AuClMa |
| Title | Automated classification of masses on mammography  |
| Year | 1998 |
| Access Date | 2024, May 04 |
| Number of Files | 1 |
| Size | 817 KiB |
| 2. Context | |
| Author | 1 Soares, Luciana Marinho 2 Conci, Aura 3 Vianna, Alberto D. |
| Editor | Costa, L. da F Camara, G. |
| Conference Name | International Symposium on Computer Graphics, Image Processing and Vision, 11 (SIBGRAPI) |
| Conference Location | Rio de Janeiro, RJ, Brazil |
| Date | 20-23 Oct. 1998 |
| Publisher | Sociedade Brasileira de Computação |
| Publisher City | Porto Alegre |
| Book Title | Proceedings |
| Tertiary Type | Full Paper |
| Organization | SBC - Sociedade Brasileira de Computação |
| History (UTC) | 2008-07-17 14:17:53 :: administrator -> banon :: 2008-08-26 15:25:26 :: banon -> administrator :: 2009-08-13 20:35:56 :: administrator -> banon :: 2010-10-01 04:19:36 :: banon -> administrator :: 2022-06-14 00:16:32 :: administrator -> :: 1998 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Keywords | biomedical image processing mammography image database breast cancer classification of nodules mass classifier in mammography digitized mammograms processamento de imagens biomedicas banco de imagens mamograficas cancer do seio classificacao de nodulos cancerigenos classificacao de elementos mamograficos mamografia digitais |
| Abstract | A scheme for identification of breast cancer as benignan or malignant based on pattern recognition is presented. A database for use by the mammographic image analysis research community has been established. From these images, 52 cases with undoubted diagnosis have been used as input pattern for feacture extraction and classification training. After extensive experimentation a set of feactures is extracted using shape and contour characterization. Two classes of classifier are used: discriminant functions and nearest neighbor classifier.We implemented an automatic computer dignosis system that performs analysis capable of correct classification on all tested cases until now. |
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 1998 > Automated classification of... |
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Automated classification of... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/83LX3pFwXQZeBBx/fLCTU |
| zipped data URL | http://urlib.net/zip/83LX3pFwXQZeBBx/fLCTU |
| Target File | sse086.pdf |
| User Group | administrator |
| Visibility | shown |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPEW34M/46RGNB8 8JMKD3MGPEW34M/4742MCS |
| Citing Item List | sid.inpe.br/sibgrapi/2022/05.08.04.49 6 |
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
| 6. Notes | |
| Notes | The conference was held in Rio de Janeiro, RJ, Brazil, from October 20 to 23. |
| Empty Fields | affiliation archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress format group isbn issn label language lineage mark mirrorrepository nextedition numberofvolumes orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |