Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/14392
Title: | Analysis of Parameters' Effects in Semi-Automated Knee Cartilage Segmentation Model |
Authors: | Gan, Hong-Seng Ahmad Helmy Abdul Karim Khairil Amir Sayuti Tan, Tian-Swee Mohammed Rafiq Abdul Kadir UniKL BMI |
Issue Date: | 23-Sep-2016 |
Abstract: | Unlike automated segmentation, the accuracy of semi-automated segmentation is affected by pertinent parameters such as observer, type of methods and type of cartilage. In this paper, we investigated the effect of these parameters on segmentation results. based on Dice similarity index obtained from fifteen normal and ten diseased magnetic resonance images, a parameter estimation model was constructed to study the impact of each parameter. |
Description: | UniKL BMI |
URI: | http://ir.unikl.edu.my/jspui/handle/123456789/14392 |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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Analysis of Parameters' Effects in Semi-Automated Knee Cartilage Segmentation Model.pdf | 745.04 kB | Adobe PDF | View/Open Request a copy | |
GRANT TO DEPOSIT DR GAN.pdf | 146.64 kB | Adobe PDF | View/Open Request a copy | |
Submission Form-Dr.Gan.pdf | 55.75 kB | Adobe PDF | View/Open Request a copy |
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