Analysis of Temporal Variations in Dermoscopy Images of Pigmented Skin Lesions by Machine Learning Techniques

Joana Raquel Martins Veiga

doi:10.34626/9neg-hr17

Utilize este identificador para referenciar este registo: https://hdl.handle.net/10216/114122

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Campo DC	Valor	Idioma
dc.creator	Joana Raquel Martins Veiga
dc.date.accessioned	2025-11-12T20:39:23Z	-
dc.date.available	2025-11-12T20:39:23Z	-
dc.date.issued	2018-07-19
dc.date.submitted	2018-07-31
dc.identifier.other	sigarra:277680
dc.identifier.uri	https://hdl.handle.net/10216/114122	-
dc.description	Each year more people are diagnosed with skin cancer all over the world. The large incidence in populations is causing a huge concern to the scientific community, which leads the development of multiple studies related to diagnose this type of cancer. Therefore computer-aided systems are becoming more important in this field due to the challenging task of discriminate benign from malignant skin lesions. These systems can process several images and are intended to make a decision based on the diagnosis achieved by the processing of the images which will reduce the dependency on the experience of the dermatologist and the time consumed in the visual interpretation of each lesion. The main goal of this thesis is the study of the evolution of pigmented skin lesions. Starting from two images of the same lesion at different moments of evaluation, that is the identification of changes that may lead to the intervention of the specialist. These possible alterations may be evidenced through image processing techniques implemented using MATLAB which may help the physician to make a decision. This work addresses three main steps in image processing namely pre-processing, segmentation and feature extraction and aims to obtain results based on the temporal analysis of the lesion.
dc.language.iso	eng
dc.rights	openAccess
dc.subject	Engenharia electrotécnica, electrónica e informática
dc.subject	Electrical engineering, Electronic engineering, Information engineering
dc.title	Analysis of Temporal Variations in Dermoscopy Images of Pigmented Skin Lesions by Machine Learning Techniques
dc.type	Dissertação
dc.contributor.uporto	Faculdade de Engenharia
dc.identifier.doi	10.34626/9neg-hr17
dc.identifier.tid	202115437
dc.subject.fos	Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fos	Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
thesis.degree.discipline	Mestrado Integrado em Engenharia Electrotécnica e de Computadores
thesis.degree.grantor	Faculdade de Engenharia
thesis.degree.grantor	Universidade do Porto
thesis.degree.level	1
Aparece nas coleções:	FEUP - Dissertação

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