NDLI: Spinal cord segmentation and injury detection using a Crow Search-Rider optimization algorithm

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Spinal cord segmentation and injury detection using a Crow Search-Rider optimization algorithm

Content Provider	Scilit
Author	Jasim, Munavar Brindha, Thomas
Copyright Year	2020
Abstract	The damage in the spinal cord due to vertebral fractures may result in loss of sensation and muscle function either permanently or temporarily. The neurological condition of the patient can be improved only with the early detection and the treatment of the injury in the spinal cord. This paper proposes a spinal cord segmentation and injury detection system based on the proposed Crow search-Rider Optimization-based DCNN (CS-ROA DCNN) method, which can detect the injury in the spinal cord in an effective manner. Initially, the segmentation of the CT image of the spinal cord is performed using the adaptive thresholding method, followed by which the localization of the disc is performed using the Sparse FCM clustering algorithm (Sparse-FCM). The localized discs are subjected to a feature extraction process, where the features necessary for the classification process are extracted. The classification process is done using DCNN trained using the proposed CS-ROA, which is the integration of the Crow Search Algorithm (CSA) and Rider Optimization Algorithm (ROA). The experimentation is performed using the evaluation metrics, such as accuracy, sensitivity, and specificity. The proposed method achieved the high accuracy, sensitivity, and specificity of 0.874, 0.8961, and 0.8828, respectively that shows the effectiveness of the proposed CS-ROA DCNN method in spinal cord injury detection.
Related Links	https://www.degruyter.com/downloadpdf/journals/bmte/ahead-of-print/article-10.1515-bmt-2019-0180/article-10.1515-bmt-2019-0180.pdf
Ending Page	304
Page Count	12
Starting Page	293
ISSN	00135585
e-ISSN	1862278X
DOI	10.1515/bmt-2019-0180
Journal	Biomedizinische Technik/Biomedical Engineering
Issue Number	3
Volume Number	66
Language	English
Publisher	Walter de Gruyter GmbH
Publisher Date	2021-06-25
Access Restriction	Open
Subject Keyword	Biomedizinische Technik/biomedical Engineering Computer Science Adaptive Thresholding Deep Convolutional Neural Network Optimization Spinal Cord Injury Detection Journal: Biomedizinische Technik/Biomedical Engineering, Vol- 66
Content Type	Text
Resource Type	Article
Subject	Medicine Biomedical Engineering

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