CLASSIFICATION OF MAMMOGRAPHIC IMAGES BY OPENVINO: A PROPOSAL OF USE TO ENHANCE MORE EFFECTIVITY IN CANCER DIAGNOSIS

Computer vision is the way to teach machines intelligence so that they are able to see things exactly like humans, is what allows computers to see and process visual data just like humans. Computer vision involves analyzing images to produce useful information (BARELLI, 2018). Images from mammograms of breast nodules were analyzed and a method of classification by shape and texture was proposed using computer programs that can maximize the accuracy in the assertive diagnosis of the malignancy or not of a tumor, that is, a tool that could be useful as a contribution in interpreting the results to mastologists who identify such nodules through the analyzed radiological images. The DDMS (digital database for screening mammography) was used to train an artificial intelligence program, OpenVino.