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http://hdl.handle.net/10609/91366
Title: | Classificació automatitzada d'imatges histològiques mitjançant una xarxa neuronal convolucional. Una aplicació per al tractament del càncer colorrectal |
Author: | Borràs Ros, Jan |
Tutor: | Alférez, Santiago |
Others: | Prados Carrasco, Ferran |
Abstract: | In the present study the main target is to train a Convolutional Neural Network with the capacity to classify 8 different colorrectal cancer tissue types from cancer histology. After that we tested the performance of the algorithm to classify the regions of real biopsy images obtained from colorrectal cancer patients. To build the Convolutional Network we have used Python with PyTorch library, developed and mantained by Facebook Inc. Altogether with PyTorch we have used Fastai library which allows to use a set of functions to test good practices with the aim to improve final accuracy. This good practices methods have been developed by other researchers in the application of other Convolutional Neural Network models. |
Keywords: | convolutional neural network PyTorch colorectal cancer |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jan-2019 |
Publication license: | http://www.gnu.org/copyleft/fdl.html |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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jborrasrosTFM0119memoria.pdf | Memòria del TFM | 7,81 MB | Adobe PDF | View/Open |
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