A novel validation method based on radial distance error for 3D medical image segmentation / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 742-747, 2007.
Article
in Chinese
| WPRIM
| ID: wpr-346080
ABSTRACT
3D medical image segmentation is a fundamental technique for computer assisted surgery and therapy. There exist various segmentation algorithms, but still we hope to have a more efficient and intuitive evaluation method for validation. In this paper, after reviewing the existing validation methods, we propose a new approach for 3D image segmentation validation. The details of the method are introduced in two parts local error validation and global accuracy validation. Then, we apply it to validate three typical segmentation algorithms and a user proposed hybrid segmentation method in our experiment. The hybrid approach is also briefly introduced. The experimental results reveal that the proposed validation method can evaluate the employed segmentation methods more accurately and intuitionally.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Diagnostic Imaging
/
Image Interpretation, Computer-Assisted
/
Image Enhancement
/
Imaging, Three-Dimensional
/
Methods
Type of study:
Diagnostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2007
Type:
Article
Similar
MEDLINE
...
LILACS
LIS