Image segmentation algorithms on female pelvic ultrasound images

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

Patrícia F. Silva (Autor) Outra; Zhen Ma (Autor) FEUP; João Manuel R. S.Tavares (Autor) FEUP

Ata de Conferência Internacional

Título: Computational Vision and Medical Image Processing: VipIMAGE 2011

Páginas: 111-116

III ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing: VipIMAGE 2011

Olhão, Portugal, 14-14 October 2011

Indexação

Scopus

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Outras ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas

Outras Informações

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6