Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Detection of Microcalcifications Using Coordinate Logic Filters and Artificial Neural Networks
Year:2009
Research Areas
  • Automatic,
  • Processing and signal analysis
Information
Abstract
Breast cancer is one of the leading causes to women mortality in the world. Cluster of Microcalcifications (MCC) in mammograms can be an important early sign of breast cancer, the detection is important to prevent and treat the disease. In this paper, we present a novel method for the detection of MCC in mammograms which consists of image enhancement by histogram adaptive equalization technique, MCC edge detection by Coordinate Logic Filters (CLF), generation, clustering and labelling of suboptimal features vectors by means of Self Organizing Map (SOM) Neural Network. Like comparison we applied an unsupervised clustering K-means in the stage of labelling of our method. In the labelling stage, we obtain better results with the proposed SOM Neural Network compared with the k-means algorithm. Then, we show that the proposed method can locate MCCs in an efficient way
International
Si
Congress
IWINAC 2009
960
Place
Santiago de Compostela
Reviewers
Si
ISBN/ISSN
978-3-642-02266-1
10.1007/978-3-642-02267-8_20
Start Date
22/06/2009
End Date
26/06/2009
From page
179
To page
187
Bioinspired Applications in Artificial and Natural Computation (IWINAC 039;09). LNCS 5602
Participants
  • Autor: Fulgencio S Buendía (GMV)
  • Autor: Jose Miguel Barron Adame (UPM)
  • Autor: María Guadalupe Cortina Januchs (UPM)
  • Autor: Antonio Vega Corona (Univ. Guanajuato (México))
  • Autor: Diego Andina De la Fuente (UPM)
  • Autor: Joel Quintanilla Dominguez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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