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http://hdl.handle.net/2445/186181
Title: | Learning contextual information via deep learning |
Author: | Bardají Serra, Sara |
Director/Tutor: | Seguí Mesquida, Santi Gilabert Roca, Pere |
Keywords: | Aprenentatge automàtic Xarxes neuronals convolucionals Programari Treballs de fi de grau Xarxes neuronals (Informàtica) Imatges mèdiques Machine learning Convolutional neural networks Computer software Neural networks (Computer science) Imaging systems in medicine Bachelor's theses |
Issue Date: | 22-Jan-2022 |
Abstract: | [en] During the last few years, deep learning has become one of the most attractive fields of artificial intelligence, with the use of artificial neural networks at its core. In this project we propose several neural networks architectures for the context learning methodology. The main goal of this project is to verify if these methodologies might work on medical images by first testing them on simpler datasets. We propose two different approaches, one consisting of a convolutional architecture and the other being a recurrent neural network. Whilst the first approach provided grate results with the first datasets we used, it proved to be insufficient as the complexity of the dataset increased. The recurrent architecture provided successful results when working with more complex datasets. This thesis provides a general overview of neural networks and explains the different steps taken to reach the proposed models. |
Note: | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2022, Director: Santi Seguí Mesquida i Pere Gilabert Roca |
URI: | http://hdl.handle.net/2445/186181 |
Appears in Collections: | Programari - Treballs de l'alumnat Treballs Finals de Grau (TFG) - Administració i Direcció d’Empreses i Matemàtiques (Doble Grau) Treballs Finals de Grau (TFG) - Enginyeria Informàtica |
Files in This Item:
File | Description | Size | Format | |
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codi.zip | Codi font | 48.18 kB | zip | View/Open |
tfg_bardaji_serra_sara.pdf | Memòria | 4.93 MB | Adobe PDF | View/Open |
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