In this paper, a novel technique based on association rules (ARs) is presented in order to
find relations among activated brain areas in single photon emission computed tomography …

Context-aware systems acquire and exploit information on the user context to tailor services
to a particular user, place, time, and/or event. Hence, they allow service providers to adapt …

Cerebral aneurysms pose a major clinical threat and the current practice upon diagnosis is a
complex, lengthy, and costly, multi-criteria analysis, which to date is not fully understood …

Frequent itemset mining is a widely exploratory technique that focuses on discovering
recurrent correlations among data. The steadfast evolution of markets and business …

This paper proposes an automated target recognition algorithm using Support Vector
Machine (SVM) to extract landmark points for craniofacial features in cephalometry …

In this paper, an efficient automated mass classification system for breast cancer in digitized
mammograms using NonSubsampled Contourlet Transform (NSCT) and Support Vector …

This paper outlines two hybrid approaches to investigate the nonlinear relationship between
size of a forest fire and meteorological variables (temperature, relative humidity, wind speed …

Tuberculosis is a disease caused by mycobacterium which can affect virtually all organs, not
sparing even the relatively inaccessible sites. India has the world's highest burden of …

The research presented in this paper was aimed to develop a recognition system for
microscopic images of breast tissues samples. The system should classify breast tissues as …

This paper describes the participation of the RECOD group on the ImageCLEF 2011
Medical Modality Classification sub-task. We present an approach based on genetic …