1. Repositório Aberto da Universidade do Porto
2. FEUP - Faculdade de Engenharia
3. FEUP - Dissertação

Autor(es):	Pedro Filipe Cavaleiro Breda
Título:	Deep Learning for the Segmentation of Vessels in Retinal Fundus images and its Interpretation
Data de publicação:	2018-09-19
Descrição:	The main goal of this dissertation is to study and analyze different approaches based on deep learning techniques for the segmentation of retinal blood vessels. In order to do so, different design and architectures of CNN's will be studied and analysed, as their results and performance are evaluated and compared with the available algorithms. One other important objective of this work is to study and evaluate the different techniques that have been used for vessel segmentation, such as machine learning, and how these can be combined with the deep learning approaches. By Analyzing the features that the learned models are using to perform classification and combining them with different machine learning techniques (such as Random Forest and SVM Classifiers), another goal is to proposed a solution or set of solutions to perform the retinal vessel segmentation.
Assunto:	Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering
Áreas do conhecimento:	Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
Identificador TID:	202396592
URI:	https://hdl.handle.net/10216/116105
Tipo de Documento:	Dissertação
Condições de Acesso:	openAccess
Aparece nas coleções:	FEUP - Dissertação

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