RECONSTRUÇÃO DE IMAGENS UTILIZANDO APRENDIZADO PROFUNDO E TÉCNICAS DE COMPRESSIVE SENSING
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The use of magnetic resonance imaging (MRI) is widespread in the diagnosis of tumors and aids in the treatment of cancer. It is always important to consider that the quality of the images obtained is of paramount importance for the diagnosis of diseases. Engineering, through lines of research such as signal processing, provides ways to increase robustness against interference in image processing with tools such as Deep Learning. Within this aspect, the use of CNN’s, as U-NET, aligned with Compressive Sensisng is extremely valuable in the development of more accurate diagnostic systems for such oprobrious diseases.