  This paper examines the potential contribution of infrared (IR) imaging in
breast diseases detection. It compares obtained results using some algorithms
for detection of malignant breast conditions such as Support Vector Machine
(SVM) regarding the consistency of different approaches when applied to public
data. Moreover, in order to avail the actual IR imaging's capability as a
complement on clinical trials and to promote researches using high-resolution
IR imaging we deemed the use of a public database revised by confidently
trained breast physicians as essential. Only the static acquisition protocol is
regarded in our work. We used lO2 IR single breast images from the Pro
Engenharia (PROENG) public database (54 normal and 48 with some finding). These
images were collected from Universidade Federal de Pernambuco (UFPE)
University's Hospital. We employed the same features proposed by the authors of
the work that presented the best results and achieved an accuracy of 61.7 % and
Youden index of 0.24 using the Sequential Minimal Optimization (SMO)
classifier.
