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Title: Clasificación de imágenes radiológicas aplicando modelos Transformers
Author: Corrales Estrella, Francisco Javier
Tutor: Sanchez-Bocanegra, Carlos Luis  
Others: Solé-Ribalta, Albert  
Abstract: The early detection of diseases through imaging studies is key to increasing the life expectancy of the patient. There are different types of tests such as x-rays, tomography, magnetic resonance imaging, mammography, ultrasound [23]. The application of AI techniques is a new way to approach this problem and allows radiologists to detect diseases. Through this work, we intend to review the state of the art of neural networks based on Transformers for image diagnosis and carry out a practical application on a set of images to evaluate their results.
Keywords: radiodiagnosis
artificial intelligence
neural networks
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 15-Jan-2023
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Appears in Collections:Bachelor thesis, research projects, etc.

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