Open AccessMultimodal Integrated Technique for Wrist Fracture Identification
Author(s) -
Manjula Gururaj Rao H*,
Dr G S Nagaraja
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i7629.079920
Subject(s) - wrist , computer science , artificial intelligence , computer vision , centroid , modal , identification (biology) , segmentation , fracture (geology) , principal component analysis , pattern recognition (psychology) , radiology , medicine , engineering , chemistry , botany , geotechnical engineering , biology , polymer chemistry
Medical image processing is one of the fastest growing fields in Computer Science. It is a technique used to obtain the images of various parts of the body for clinical analysis to identify and treat diseases. Medical Imaging helps in detecting fractures, lesions present in the images like X-ray, CT-scan, and MRI. Fracture detections are difficult and sometimes may lead to the misjudgment. Existing fracture detection system is complex and accuracy of the detection is low. Hence, the proposed paper focuses on single and multi-modal system that helps radiologists in detecting the wrist fractures. The proposed system uses the multimodal system to detect the fracture in the wrist bone. It uses the combination of the Hierarchical centroid, Principal Component Analysis and Connected components analysis technique to identify the fracture in the wrist bones. This paper also elaborates on the various segmentation techniques used in the multimodal and single modal system.