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http://hdl.handle.net/10609/64768
Title: | Aprendizaje supervisado en conjuntos de datos no balanceados con redes neuronales artificiales: métodos de mejora de rendimiento para modelos de clasificación binaria en diagnóstico médico |
Author: | Águila Martínez, Juan |
Tutor: | Solanas, Agusti |
Others: | Universitat Oberta de Catalunya |
Abstract: | The following work addresses the problem of recognizing a set of patterns within a database obtained from scanned images through the liquid of mammary samples taken via FNA (Fine Needle Aspiration). Such data present a marked class imbalance, not to mention other features which degrade the usual supervised classification techniques in terms of performance. |
Keywords: | multivariate statistics neural networks |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 15-Jun-2017 |
Publication license: | http://www.gnu.org/licenses/gpl.html |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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jaguilamaTFM0617memoria.pdf | Memoria del TFM | 6,94 MB | Adobe PDF | View/Open |
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