Plugin for OsiriX: mean shift segmentation.
Open source and plugin-based software provide the possibilities for a flexible and free transportation of algorithms to final users. In medical image processing, OsiriX is an instance of the fulfillment of this potential. This work presents the plugin implementation of the mean shift segmentation algorithm. It presents the modeling of the methodology using Object-Oriented tools, as a part of software development process. The resultant models have been represented through Unified Modeling Language (UML). The model parts have been implemented and proved as an OsiriX plugin, helping bridge the divide between algorithms devised in research laboratories and the application of these tools in the clinical setting.
Vides
Cañas S
CS
CIIIM, Neuroimaging Laboratory, Department of Electrical Engineering, Universidad Autónoma Metropolitana-Iztapalapa, México, D. F., 09340, México. silvia.vides@gmail.com
Azpíroz
Leehan J
LJ
Jiménez
Alaniz J R
AJ
D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods; D008954:Models, Biological; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods*; D011381:Programming Languages; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013382:Subtraction Technique; D014584:User-Computer Interface