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Title: Servicio web para la clasificación de cáncer de piel usando redes neuronales
Author: Iglesias Garcia, Endika
Director: Morán Moreno, José Antonio
Tutor: Alférez Baquero, Edwin Santiago
Others: Universitat Oberta de Catalunya
Keywords: skin cancer
web applications
neural networks
Issue Date: Jun-2018
Publisher: Universitat Oberta de Catalunya
Abstract: Skin cancer, the most common human malignancy, is primarily diagnosed visually, beginning with an initial clinical screening and followed potentially by dermoscopic analysis, a biopsy and histopathological examination. Automated classification of skin lesions using images is a challenging task due to the variability in appearance. Convolutional Neural Networks have a potential for such general and highly variable tasks. For this purpose, an accessible web platform will be developed, where users will send images of skin areas and the possible carcinogenic zones found will be analyzed and identified. This analysis will be performed by a deep convolutional neural network. We will use the ISIC dataset containing images classified as benign and malignant will be used, as well as other classifications such as the type of lesion presented in the image. Initially, a development of an own neuronal model using convolutional layers will be performed. Pre-trained networks such as InceptionV3, VGG16 and VGG19 will also be used. A preliminary analysis will be carried out, where the accuracy of each of these neural networks can be observed. The accuracy of each of these will then be evaluated to select the appropriate one for fine tuning and use in the web service.
Language: Spanish
Appears in Collections:Bachelor thesis, research projects, etc.

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