skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Automatic segmentation of anatomical structures using deformable models and bio-inspired/soft computing

Electronic letters on computer vision and image analysis, 2014, Vol.13 (2), p.24-25 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1577-5097 ;EISSN: 1577-5097 ;DOI: 10.5565/rev/elcvia.612

Full text available

Citations Cited by
  • Title:
    Automatic segmentation of anatomical structures using deformable models and bio-inspired/soft computing
  • Author: Mesejo, Pablo
  • Subjects: Artificial Intelligence ; Biomedical Imaging ; Computer Science ; Computer Vision and Pattern Recognition ; Deformable Models ; Ensemble Classifiers ; Image Processing ; Level Set Method ; Medical Imaging ; Metaheuristics ; Signal and Image Processing ; Soft Computing
  • Is Part Of: Electronic letters on computer vision and image analysis, 2014, Vol.13 (2), p.24-25
  • Description: This PhD dissertation is focused on the development of algorithms for the automatic segmentation of anatomical structures in biomedical images, usually the hippocampus in histological images from the mouse brain. Such algorithms are based on computer vision techniques and artificial intelligence methods. More precisely, on the one hand, we take advantage of deformable models to segment the anatomical structure under consideration, using prior knowledge from different sources, and to embed the segmentation into an optimization framework. On the other hand, metaheuristics and classifiers can be used to perform the optimization of the target function defined by the shape model (as well as to automatically tune the system parameters), and to refine the results obtained by the segmentation process, respectively. Three new different methods, with their corresponding advantages and disadvantages, are described and tested. A broad theoretical discussion, together with an extensive introduction to the state of the art, has also been included to provide an overview necessary for understanding the developed methods.
  • Publisher: Centre de Visió per Computador
  • Language: Catalan;English
  • Identifier: ISSN: 1577-5097
    EISSN: 1577-5097
    DOI: 10.5565/rev/elcvia.612
  • Source: RACO Revistes Catalanes amb Accés Obert
    Hyper Article en Ligne (HAL) (Open Access)
    ROAD: Directory of Open Access Scholarly Resources
    DOAJ Directory of Open Access Journals
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait