Object: This study demonstrates that 3T SV-MRS data can be used with the currently available automatic brain tumour diagnostic classifiers which were trained on databases of 1.5T spectra. This will allow the existing large ...
In the last decade, machine learning (ML) techniques have been used for developing classifiers for automatic brain tumour diagnosis. However, the development of these ML models rely on a unique training set and learning ...
Sáez Silvestre, Carlos; Martí-Bonmatí, Luis; Alberich Bayarri, Ángel; Robles Viejo, Montserrat; García Gómez, Juan Miguel(Elsevier, 2014-02)
The results of a randomized pilot study and qualitative evaluation of the clinical decision support system
Curiam BT are reported. We evaluated the system's feasibility and potential value as a radiological
information ...
Hu, B; Croitoru, M; Roset, R; Dupplaw, D; Lurgi, M; Dasmahapatra, S; Lewis, P; Martínez Miranda, Juan Crisóforo; Sáez Silvestre, Carlos(Cambridge University Press, 2011)
In this paper we present our experience of representing the knowledge behind HealthAgents (HA), a distributed decision support system for brain tumour diagnosis. Our initial motivation came from the distributed nature of ...