Abstract
This research is for the possibility of automating the assessment of hand radiographic joint damage in rheumatoid arthritis. The objective of this research is to design a segmentation algorithm to obtain the area which is the joint space object. This study has collected 46 radiographic images of the hands. Image preprocessing is performed using adaptive thresholds and the concept of morphological gradient, then segmentation is performed using branches filtering approach. Analysis based on accuracy, sensitivity and specificity compared with manual segmentation by experts. The results of segmentation research preceded by preprocessing produce better images with an accuracy of 96.413%, a sensitivity of 72.121% and a specificity of 97.891% in the highest percentage.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
