Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Microcalcifications Detection using PFCM and ANN
Year:2011
Research Areas
  • Engineering
Information
Abstract
This work presents a method to detect Miicrocalcifications in Regions of Interest from digitized mammograms. The method is based mainly on the combination of Image Processing, Pattern Recognition and Artificial Intelligence. The Top-Hat transform is a technique based on mathematical morphology operations that, in this work is used to perform contrast enhancement of microcalcifications in the region of interest. In order to find more or less homogeneous regions in the image, we apply a novel image sub-segmentation technique based on Possibilistic Fuzzy c-Means clustering algorithm. From the original region of interest we extract two window-based features, Mean and Deviation Standard, which will be used in a classifier based on a Artificial Neural Network in order to identify microcalcifications. Our results show that the proposed method is a good alternative in the stage of microcalcifications detection, because this stage is an important part of the early Breast Cancer detection.
International
Si
Congress
3rd Mexican Workshop on Pattern Recognition 2011
960
Place
Cancun, Méxic
Reviewers
Si
ISBN/ISSN
0302-9743
10.1007/978-3-642-21587-2_28
Start Date
29/06/2011
End Date
02/07/2011
From page
260
To page
268
Pattern Recognition. Lecture Notes in Computer Science, 2011, Volume 6718/2011
Participants
  • Autor: Antonio Vega Corona (Universidad de Guanajuato, México)
  • Autor: Joel Quintanilla Dominguez (UPM)
  • Autor: Benjamín Ojeda Magaña (UPM)
  • Autor: María Guadalupe Cortina Januchs (UPM)
  • Autor: Alexis Enrique Marcano Cedeño (UPM)
  • Autor: Rubén Ruelas (Universidad de Guadalajara, México)
  • Autor: Diego Andina De la Fuente (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Señales, Sistemas y Radiocomunicaciones
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)