Image segmentation algorithms on female pelvic ultrasound images

The processing and analysis of structures presented in images has been one of the areas of Computational Vision with greater potential and applicability. The main goal of the researchers of this area has been the development of new computational methodologies to study the behaviour of structures in...

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Bibliographic Details
Main Author: Patrícia F. Silva (author)
Other Authors: Zhen Ma (author), João Manuel R. S.Tavares (author)
Format: book
Language:eng
Published: 2011
Subjects:
Online Access:https://repositorio-aberto.up.pt/handle/10216/56787
Country:Portugal
Oai:oai:repositorio-aberto.up.pt:10216/56787
Description
Summary:The processing and analysis of structures presented in images has been one of the areas of Computational Vision with greater potential and applicability. The main goal of the researchers of this area has been the development of new computational methodologies to study the behaviour of structures in images. The mentioned image-based analysis is very important in many domains. For example, in Medicine, the information obtained by the proposed automatic analysis is crucial to understand the functioning and the behaviour of organs, and thus to assist medical doctors. A faithful simulation of organs is extremely important to improve the accuracy of medical virtual systems, as of the human body and of computational surgical simulators and robotic surgery. In this work, several algorithms of image segmentation are evaluated on ultrasound images acquired from female pelvic cavity.