Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPBW34M/3CA6BHH |
Repository | sid.inpe.br/sibgrapi/2012/07.16.23.40 |
Last Update | 2012:07.16.23.40.15 gisele.hbm@gmail.com |
Metadata | sid.inpe.br/sibgrapi/2012/07.16.23.40.15 |
Metadata Last Update | 2020:02.19.02.18.29 administrator |
Citation Key | MirandaBarrSoarFeli:2012:StAnHi |
Title | Structural Analysis of Histological Images to Aid Diagnosis of Cervical Cancer  |
Format | DVD, On-line. |
Year | 2012 |
Access Date | 2021, Jan. 24 |
Number of Files | 1 |
Size | 1678 KiB |
Context area | |
Author | 1 Miranda, Gisele Helena Barboni 2 Barrera, Junior 3 Soares, Edson Garcia 4 Felipe, Joaquim Cezar |
Affiliation | 1 Department of Computing and Mathematics, Faculty of Philosophy, Sciences and Languages of Ribeirão Preto, USP 2 Department of Computer Science, Institute of Mathematics and Statistics, USP 3 Department of Pathology, Faculty of Medicine of Ribeirão Preto, USP 4 Department of Computing and Mathematics, Faculty of Philosophy, Sciences and Languages of Ribeirão Preto, USP |
Editor | Freitas, Carla Maria Dal Sasso Sarkar, Sudeep Scopigno, Roberto Silva, Luciano |
e-Mail Address | gisele.hbm@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 25 (SIBGRAPI) |
Conference Location | Ouro Preto |
Date | Aug. 22-25, 2012 |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2012-09-20 16:45:34 :: gisele.hbm@gmail.com -> administrator :: 2012 2020-02-19 02:18:29 :: administrator -> :: 2012 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | Cervical Intraepithelial Neoplasia (CIN), neighborhood graphs, medical image processing, computer-aided diagnosis. |
Abstract | The use of computational techniques in the processing of histopathological images allows the study of the structural organization of tissues and their pathological changes. The overall objective of this work includes the proposal, the implementation and the evaluation of a methodology for the analysis of cervical intraepithelial neoplasia (CIN) from histopathological images. For this pourpose, a pipeline of morphological operators were implemented for the segmentation of cell nuclei and the Delaunay Triangulation were used in order to represent the tissue architecture. Also, clustering algorithms and graph morphology were used to automatically obtain the boundary between the histological layers of the epithelial tissue. Similarity criteria and adjacency relations between the triangles of the network were explored. The proposed method was evaluated concerning the detection of the presence of lesions in the tissue as well as the their malignancy grading. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPBW34M/3CA6BHH |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3CA6BHH |
Language | en |
Target File | 102103_final.pdf |
User Group | gisele.hbm@gmail.com |
Visibility | shown |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit 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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