Breast diagnostic based on mammography data using deep learning


  • Claudio Marcio do Nascimento Abreu Pereira Instituto de Engenharia Nuclear
  • A. Souza
  • M.Vinicios L. Santos


This work investigates the usage of a deep learning model to support breast diagnostics from mammographic image data [1]. We are collaborating as a beta-tester on the NYU Breast Cancer Classification Meta-repository. Medical images were obtained for testing from a Brazilian Federal Hospital - HUCFF and a database at IEN have been created for research continuity. The main objective is to evaluate a model that could improve radiologist clinical routine, a computational system (Figure 1) for breast cancer diagnostic for standardization and improvement of deep learning in breast cancer for data owners and developers that has the entire pipeline encapsulated in a Docker container [2]. It includes ready-to-use Docker images of screening mammography models.




Como Citar

Pereira, C. M. do N. A., Souza, A., & L. Santos, M. (2021). Breast diagnostic based on mammography data using deep learning. Instituto De Engenharia Nuclear: Progress Report, (4). Recuperado de



Application of Nuclear Techniques in Health and Environment