Go to:
Logótipo
Você está em: Start > Publications > View > A comparison between segmentation algorithms for urinary bladder on T2-weighted MR images
Map of Premises
Principal
Publication

A comparison between segmentation algorithms for urinary bladder on T2-weighted MR images

Title
A comparison between segmentation algorithms for urinary bladder on T2-weighted MR images
Type
Article in International Conference Proceedings Book
Year
2012
Authors
Ma, Z
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Renato Natal Jorge
(Author)
FEUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
João Manuel R. S. Tavares
(Author)
FEUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
Conference proceedings International
Pages: 371-376
3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (VipIMAGE)
Olhao, PORTUGAL, OCT 12-14, 2011
Indexing
Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
Other information
Authenticus ID: P-00P-7EN
Abstract (EN): The urinary bladder on T2-weighted MR images has a high signal intensity appearance, which can be clearly identified from the neighboring structures. However, due to the complex imaging background, the appearance of the bladder is frequently influenced by noise and partial volume effect. Different algorithms have been proposed to segment the bladder. Nevertheless, these algorithms are at their beginning phases, and considerable improvements are needed to obtain an effective automatic segmentation algorithm. In this paper, the performances of four algorithms are evaluated using a case study, from which the effectiveness and the differences between the algorithms are discussed. Quantitative analysis of the segmentation results are presented to measure the deviations of the segmentation results and reflect the aspects that need to be improved.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 6
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same authors

A review of algorithms for medical image segmentation and their applications to the female pelvic cavity (2010)
Another Publication in an International Scientific Journal
ma, z; tavares, jmrs; jorge, rn; mascarenhas, t
Recommend this page Top
Copyright 1996-2025 © Faculdade de Medicina Dentária da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-07-22 at 12:16:33 | Privacy Policy | Personal Data Protection Policy | Whistleblowing | Electronic Yellow Book