ALOE platform: an overview of a service-oriented architecture for research in breast cancer diagnosis supported by e-infrastructures


This article presents an overview of the ALOE platform. ALOE provides a service-oriented architecture aimed at the research in the early detection of breast cancer diagnosis. The development of the ALOE platform is carried out by collaboration among CETA-CIEMAT, INEGI, FMUP-HSJ and UA. ALOE supports two research lines in breast cancer diagnosis: the development of well performing computer aided diagnosis (CAD) systems and the development of new tools-based on e-learning techniques to improve radiologists training. All ALOE modules are designed to work as a whole system but can be used individually in other systems and expose RESTful interfaces to be exploited by third party systems. ALOE components make use of e-Infrastructure resources to accomplish their tasks. The final objective of this work is to provide a reference platform for researchers, specialists, and students in breast cancer diagnosis.


  • José Miguel Franco Valiente
  • César Suárez Ortega

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International Journal of Image Mining 11/2015; 1(2/3):245 - 260. DOI: 10.1504/IJIM.2015.073022

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