A team of researchers from the Artificial Intelligence and Approximate Reasoning Group (GIARA) of the NUP/UPNA-Public University of Navarre was awarded by the European Association of Fuzzy Logic and Soft Computing (EUSFLAT) at a biennial meeting that recently took place in Milan. The award was thanks to their development of an improving method for delimitation of tumors in medical images.
“By means of segmentation”, explained Aránzazu Jurío, “each of the objects that make up the image is separated. Each pixel is analyzed so that all the ones sharing the same features are considered to form part of the same object”.
Humberto Bustince explained how the algorithm developed by the researchers work. “All these algorithms allow application in real time, because what may be useful for an image at a given moment may not be useful after some time”, explained Prof Bustince.
In this respect, Aránzazu Jurío stressed that “the algorithm we have developed produces a kind of consensus among the various functions that seek to obtain the best solution. We could say that it takes the process of choosing away from the expert because it is algorithm that automatically selects the function”.
“The problem”, Daniel Paternain elaborated further, “is that for a specific image there are a number of functions that the expert may use, but if he or she gets the function wrong when doing the segmenting, the result could be devastating. What we tried to solve is this: if he/she gets the function wrong, the result may not be devastating”.
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