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http://hdl.handle.net/10609/52202
Title: Deep Learning en imatges mèdiques
Author: Ruz Torres, Francisco Javier
Director: Kanaan Izquierdo, Samir
Tutor: Ventura Royo, Carles  
Others: Universitat Oberta de Catalunya
Keywords: deep learning
image processing
Issue Date: 1-Jun-2016
Publisher: Universitat Oberta de Catalunya
Abstract: Techniques based on artificial intelligence are becoming increasingly present in today's organizations. Deep Learning is one of those techniques that have reached organizations in order to stay. The main idea is none other than to use known techniques, such as neural networks, to simulate the human brain behavior and how does it do to learn. Thanks to the maturity of information systems in organizations, invaluable data sources are available which, handled properly, can help us gain greater intelligence providing an added value towards the competition of our business. Deep Learning may be responsible for this because with proper treatment we can provide systems with an intelligence not seen before. This project aims to study this technique to acquire the essential theoretical concepts and to finally apply them on real medical images in order to assess features and anomalies.
Language: Catalan
URI: http://hdl.handle.net/10609/52202
Appears in Collections:Bachelor thesis, research projects, etc.

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