Open AccessComparison of Fracture Delineation Methods in Anteroposterior Pelvic Radiographs
Author(s) -
P Ligisha,
S Bhavani
Publication year - 2020
Publication title -
international journal of computer communication and informatics
Language(s) - English
Resource type - Journals
ISSN - 2582-2713
DOI - 10.34256/ijcci2023
Subject(s) - pelvic fracture , radiography , osteoporosis , fracture (geology) , orthodontics , medicine , statistical analysis , artificial intelligence , radiology , mathematics , computer science , geology , pelvis , statistics , pathology , geotechnical engineering
Pelvic fractures are very difficult to detect due to the visual complexity of the pelvic bone. Pelvic fracture occurs less frequently, only when there is a high energy event such as fall from a height or vehicle collision. In elder people and in osteoporosis patients even a low energy incident may cause fracture. The paper includes the comparison of three different fracture detection methods – GLCM and ANN based, Statistical curve fitting and classifier based and finally statistical curve fitting and ANN based method.