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http://hdl.handle.net/10609/82134
Title: | Segmentación de núcleos celulares en imágenes de microscopía ayudados por redes neuronales convolucionales |
Author: | García Seisdedos, David |
Tutor: | Alférez, Santiago |
Others: | Universitat Oberta de Catalunya |
Abstract: | The aim of this project is to develop a bioinformatics tool to detect and isolate cell nuclei. The developed model performs detection and segmentation in three steps. First, an initial segmentation of the raw image is carried out. Second, the fragments obtained are classified by means of a convolutional neural network (CNN) into three groups: mono-nuclei, poly-nuclei or non-nuclear artifacts. Third, the artifacts will be removed and the polynuclear fragments will be segmented and will be analyzed from the second step again. Thus, the main problem - accumulation of nuclei - is subdivided by recursiveness into simpler sub-problems. |
Keywords: | machine learning convolutional neural network microscopy |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 2-Jul-2018 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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davcoTFM0618memoria.pdf | Memoria del TFM | 3,01 MB | Adobe PDF | View/Open |
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