Medical diagnosis improvement through image quality enhancement based on super-resolution

Abstract

Nowadays, images are employed in several areas of medicine for early diagnosis. In this sense, the industry provides accurate models to obtain, for example, X-ray and cardiology images of high resolution. However, other images, such as those related to pathological anatomy present in many situations poor quality, which complicates the diagnostic process. This work is focused on the quality enhancement of this type of images through a system based on super-resolution techniques. The results show that the proposed methodology can help medical specialists in the diagnostic of several pathologies.