Leonardo Tanzi
Neural networks for bone fracture classification.
Rel. Enrico Vezzetti. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2019
Abstract
Developing technologies are rapidly emerging every day in different fields, especially in medical environment. In particular, among these technologies, computer vision based products have really helped doctors in the last few years. Suspected fractures are among the most common reasons for patients to visit emergency departments, and X-ray imaging is the primary diagnostic tool used by clinicians to assess patients for fractures. Sometimes the size of fractures is not significant and could not be detected easily and missing a fracture in a radiograph often has severe consequences for patients, resulting in delayed treatment and poor recovery of function. Therefore, effective and intelligent systems should be designed.
We wanted to design a tool able to help doctors in diagnosis of bones’ fractures, that, as we said, are often hard to recognise in X-ray to the naked eye
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