Medical image processing useful tool in cancer diagnosis

An accurate diagnosis, nowadays, supposes sophisticated procedures to corroborate outstanding medical techniques, in the patient interest. This is due to the fact that different physical phenomena are giving different anatomical or physiological relevant details. Nuclear medicine, nuclear magnetic resonance or noninvasive microwave procedures are giving different aspects that are completing each other, more than superposing. The problem to find a reliable, repeatable, reference, using artificial intelligence procedures, applied in biomedical imaging. Our attempt is to make an aggregated decision based on information obtained by different methods of medical imaging. These gathered data come to form a whole amount of details, meant to precisely establish, in a record time, the diagnosis. A high-quality image and a fine, interactive interpretation, in a semi-automatic, human-assisted, procedure, obviously might save lives reinforcing an early cancer diagnosis. While nuclear medicine is an invasive investigation technique, microwave body emission registration is a completely non-invasive technique, meant to be used as often as necessary, in order to detect the evolution of a certain (surveyed) inflammatory process, previously detected by using the scintigraphy results.