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IVUS – UBPCL(I)

Authors: Cáceres González, Carlos;

IVUS – UBPCL(I)

Abstract

En los últimos años la medicina ha avanzado a una velocidad vertiginosa, en parte por nuevos descubrimientos y en parte causado por la evolución tecnológica. Esto hace que se presenten nuevos problemas, ya que ahora somos capaces de extraer gran cantidad de información, pero nos encontramos delante de un gran muro que hay que sortear. Este muro es la dificultad de tratar y obtener resultados de este volumen ingente de información. En nuestro caso, la tecnología IVUS ha supuesto un gran avance para la detección y el tratamiento de enfermedades de las arterias coronarias (EAC), pero también ha supuesto un reto cómo obtener la información, ya que, gracias a la tecnología IVUS tenemos que lidiar con una gran cantidad de imágenes. El objetivo de nuestro proyecto es crear una herramienta que ayude al profesional a tratar y procesar toda la información de la manera más cómoda y rápida posible para poder obtener el mejor resultado y diagnosticar o tratar al paciente.

Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2013, Director: Petia Radeva

Country
Spain
Related Organizations
Keywords

Coronary diseases, Bachelor's thesis, Bachelor's theses, Processament digital d'imatges, Treballs de fi de grau, Malalties coronàries, Ultrasonics in medicine, Ultrasons en medicina, Digital image processing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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