1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW4/35S9PC8 |
Repository | sid.inpe.br/sibgrapi@80/2009/08.18.15.46 |
Last Update | 2009:08.18.15.46.19 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi@80/2009/08.18.15.46.20 |
Metadata Last Update | 2022:06.14.00.14.04 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2009.25 |
Citation Key | RamirezVillegasLamERami:2009:MiDeMa |
Title | Microcalcification detection in mammograms using difference of gaussians filters and a hybrid feedforward-Kohonen neural network |
Format | Printed, On-line. |
Year | 2009 |
Access Date | 2024, May 03 |
Number of Files | 1 |
Size | 936 KiB |
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2. Context | |
Author | 1 Ramirez Villegas, Juan Felipe 2 Lam Espinosa, Eric 3 Ramirez Moreno, David Fernando |
Affiliation | 1 Universidad Autonoma de Occidente 2 Universidad Autonoma de Occidente 3 Universidad Autonoma de Occidente |
Editor | Nonato, Luis Gustavo Scharcanski, Jacob |
e-Mail Address | juanfelipe.rv@gmail.com |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI) |
Conference Location | Rio de Janeiro, RJ, Brazil |
Date | 11-14 Oct. 2009 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2010-08-28 20:03:27 :: juanfelipe.rv@gmail.com -> administrator :: 2022-06-14 00:14:04 :: administrator -> :: 2009 |
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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 | Microcalcification mammogram difference of gaussians filters artificial neural networks hard limit function self-organizing map |
Abstract | This work develops a microcalcifications detection system in mammograms by using difference of Gaussians filters (DoG) and artificial neural networks (ANN). The digital image processing proposed show the basic wavelet-based behavior of DoG as a mother function frequently used in several vision tasks, and in this case, used in order to enhance the microcalcifications traces in standard mammograms and further to achieve its detection via ANN. In order to achieve this, a segmentation algorithm is implemented for reaching a threshold in already processed images, and finally, the resultant information is given to the ANN. The neural network used to perform the detection is a hybrid feedforward-Kohonen one, implemented with a hard-limit transfer function in the first layer and a self-organizing map (SOM) responsible for microcalcifications topologic adjustment in the second layer. Basically, this clustering method gave us a robust solution of the problem and the detection was performed efficiently. There are no considerations relative to morphologic analysis of microcalcifications for diagnosis in this work. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2009 > Microcalcification detection in... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Microcalcification detection in... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW4/35S9PC8 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW4/35S9PC8 |
Language | en |
Target File | PID949710.pdf |
User Group | juanfelipe.rv@gmail.com |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46SJQ2S 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.19.43 3 |
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 documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository 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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