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Análisis de la motilidad intestinal utilizando Convolutional Deep Neural Network y la cápsula endoscópica

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dc.contributor Seguí Mesquida, Santi
dc.creator Martínez, Pablo (Martínez Martínez)
dc.date 2015-10-09T07:44:16Z
dc.date 2015-10-09T07:44:16Z
dc.date 2015-06-27
dc.date.accessioned 2024-12-16T10:21:06Z
dc.date.available 2024-12-16T10:21:06Z
dc.identifier http://hdl.handle.net/2445/67209
dc.identifier.uri http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/12119
dc.description Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2015, Director: Santi Seguí Mesquida
dc.description Capsule endoscopy is a diagnostic technique that opens a wide field of research in the clinical area. Through the capsule, videos of the entire digestive tract can be obtained, as it is ingested by the patient. There are many projects related to the data extraction of these videos, one of them, a Convolutional Deep Neural Network which is able to classify images of the small intestine in six different classes. Nevertheless, since the v ́ıdeo is obtained until it's able to be processed by the Convolutional Deep Neural Network, a set of operations are needed. In the first part of this document, an approach to get this work done is proposed. In the second part, the results of the neural network are used to create an application that tries to find sequences in videos and segment the videos based on that sequences.
dc.format 59 p.
dc.format application/pdf
dc.language spa
dc.rights memòria: cc-by-nc-sa (c) Pablo Martínez Martínez, 2015
dc.rights http://creativecommons.org/licenses/by-sa/3.0/es
dc.rights info:eu-repo/semantics/openAccess
dc.source Treballs Finals de Grau (TFG) - Enginyeria Informàtica
dc.subject Visió per ordinador
dc.subject Reconeixement de formes (Informàtica)
dc.subject Programari
dc.subject Treballs de fi de grau
dc.subject Processament digital d'imatges
dc.subject Càpsula endoscòpica
dc.subject Motilitat gastrointestinal
dc.subject Xarxes neuronals (Informàtica)
dc.subject Computer vision
dc.subject Pattern recognition systems
dc.subject Computer software
dc.subject Bachelor's theses
dc.subject Digital image processing
dc.subject Capsule endoscopy
dc.subject Gastrointestinal motility
dc.subject Neural networks (Computer science)
dc.title Análisis de la motilidad intestinal utilizando Convolutional Deep Neural Network y la cápsula endoscópica
dc.type info:eu-repo/semantics/bachelorThesis


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