Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/115465
Author(s): Catarina Castro
Carlos Alberto Conceição António
Luísa Costa Sousa
Title: VESSEL DETECTION IN CAROTID ULTRASOUND IMAGES USING ARTIFICIAL NEURAL NETWORKS
Issue Date: 2018
Abstract: Carotid Doppler ultrasound and imaging are focused on the visualization, identification and measurement of vessels and blood flow providing critical diagnostic information on symptomatic or asymptomatic stenotic or embolic accidents. Ultrasound imaging is a complicated interplay between physical principles and signal processing methods. In this work the development of a new algorithm for vessel identification and image segmentation in ultrasound images is reported. A fully automatic technique based on pixel intensity distribution alleviates the laborious and time consuming manual measurement and classification of the carotid artery.
Subject: Ciências Médicas, Engenharia, Ciências médicas e da saúde, Ciências da engenharia e tecnologias
Medical sciences, Engineering, Medical and Health sciences, Engineering and technology
Scientific areas: Ciências médicas e da saúde
Medical and Health sciences
Ciências da engenharia e tecnologias
Engineering and technology
URI: https://hdl.handle.net/10216/115465
Source: Proceedings of the 6th International Conference Integrity, Reliability and Failure
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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