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http://hdl.handle.net/10609/118526
Title: | Diagnóstico de miopía patológica en imágenes de fondo de ojo mediante aprendizaje profundo |
Author: | López Robles, Daniel |
Tutor: | Nuñez Do Rio, Joan Manuel |
Others: | Ventura, Carles |
Abstract: | Myopia is a global public health problem. Its most severe form, called pathological myopia, can lead to irreversible loss of vision. The complexity of the diagnosis is aggravated by the emerging issues of population ageing around the world. The rate of people over 60 is growing twice as high as that of ophthalmology professionals. Therefore, it is essential to promote the use of new technologies for an early diagnosis of pathological myopia. Artificial Intelligence provides promising tools to facilitate clinical diagnosis through Deep Learning. Convolutional Neural Networks, specialized in image processing, allow to address complex problems such as medical image classification. This paper explores convolutional neural network-based solutions for detecting pathological myopia in fundus images, including the use of transfer learning with the VGGNet, ResNet and GoogleNet models. The results achieved demonstrate the potential of Deep Learning to contribute to the early diagnosis of pathological myopia. |
Keywords: | eye fundus image deep learning pathologic myopia |
Document type: | info:eu-repo/semantics/bachelorThesis |
Issue Date: | 19-Jun-2020 |
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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20200524 TFG Daniel López Robles cross validation.ipynb | 495,81 kB | Unknown | View/Open | |
20200531 TFG Daniel López Robles ResNet.ipynb | 467,49 kB | Unknown | View/Open | |
20200531 TFG Daniel López Robles VGG16.ipynb | 665,3 kB | Unknown | View/Open | |
20200531 TFG Daniel López Robles VGG19.ipynb | 702,1 kB | Unknown | View/Open | |
20200520 TFG Daniel López Robles random search.ipynb | 273,58 kB | Unknown | View/Open | |
20200601 TFG Daniel López Robles Inceptionv3.ipynb | 1,05 MB | Unknown | View/Open | |
20200523 TFG Daniel López Robles grid search.ipynb | 307,8 kB | Unknown | View/Open | |
dlopezroblesTFG0620memoria.pdf | Memoria del TFG | 1,32 MB | Adobe PDF | View/Open |
dlopezroblesTFG0620presentación.pdf | Presentación del TFG | 2,13 MB | Adobe PDF | View/Open |
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