1. Proceedings
  2. I3M
  3. 2021
  4. IWISH
  5. 10.46354/i3m.2021.iwish.009

Mammography CADx System based on Transfer Learning

  • a J.A. Almaraz-Damian , 
  • b Oscar Garcia-Avila , 
  • c Volodymyr Ponomaryov , 
  • d Roxane Gardner , 
  • e Rebecca Minehart , 
  • e Barbara Bertagni 
  • a,b,c,d,e Instituto Politecnico Nacional,Santa Ana Ave. # 1000, Mexico City, 04430, Mexico
Cite as
Almaraz-Damian J.A., Garcia-Avila O, Ponomaryov V., Reyes-Reyes R., Cruz-Ramos C.  (2021). Mammography CADx System based on Transfer Learning. Proceedings of the 10th International Workshop on Innovative Simulation for Healthcare (IWISH 2021), pp. 55-63. DOI: https://doi.org/10.46354/i3m.2021.iwish.009

Abstract

Early detection of breast cancer is crucial in the treatment of this desease, as the principal diagnoses tool mammography imaging is employed due to its no-invasive form. In this paper, a Computer-Aided Detection System (CADx) is presented for the analysis of digital mammogram images. The methods used in the proposed CAD system are Transfer Learning, Support Vector Machine as Classier, and Feature Reduction based on Principal Component Analysis. The system has demonstrated improved performance in comparison with state-of-the-art methods in terms of quality metrics such as Accuracy, Specificity, Sensibility, and F1-Score.

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