José M. Franco-Valiente, César Suárez-Ortega, Miguel A. Guevara-López, Frederico Valente, Naimy González-de-Posada, Joana P. Loureiro, and Isabel Ramos
Lugar: Aveiro, Portugal
Fecha: 8 al 10 de septiembre de 2014
Tipo: Presentación oral
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.