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http://hdl.handle.net/10609/90566
Title: | Implementación de Redes Generativas Adversarias (GANs) para la generación de imágenes de tejido humano |
Author: | Segura Cabrera, Pedro Juan |
Director: | Reverter, Ferran |
Tutor: | Sánchez-Pla, Alex |
Abstract: | This project is based on the generation of images of human tissue, specifically, skin lesions such as melanoma or seborrheic keratosis, using a Generative Adversarial Network and a dataset of 2000 real images. The main application of the project in the field of medicine is to increase the global database of images of human tissue and thus, contribute to medical studies in the dermatological area. Images with a resolution of 64x64 have been obtained and validated through a representation of reduced dimensions (PCA and tSNE) of the whole set of images, real and generated ones. |
Keywords: | disciminator GAN deep learning CNN MVP generator artificial intelligence |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 2-Jan-2019 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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pjseguraTFM0119memoria.pdf | Memoria del TFM | 1,74 MB | Adobe PDF | View/Open |
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