Spinal cord segmentation and injury detection using a Crow Search-Rider optimization algorithm
-
Munavar Jasim
and
Thomas Brindha
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.
Research funding: No Funding Involved.
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
Competing interest: The authors declare that they have no conflict of interest.
Research involving human participants and/or animals: All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008.
Informed consent: Informed consent was obtained from all patients for being included in the study.
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© 2020 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Review
- Surrogate based continuous noninvasive blood pressure measurement
- Research Articles
- Smart automated heart health monitoring using photoplethysmography signal classification
- In vivo evaluation of two adaptive Starling-like control algorithms for left ventricular assist devices
- A patient-independent classification system for onset detection of seizures
- Prediction of salivary cortisol level by electroencephalography features
- Confocal laser microscopy without fluorescent dye in minimal-invasive thoracic surgery: an ex-vivo pilot study in lung cancer
- Spinal cord segmentation and injury detection using a Crow Search-Rider optimization algorithm
- Experimental and numerical investigations of fracture and fatigue behaviour of implant-supported bars with distal extension made of three different materials
- Compression and tension behavior of the prosthetic foam materials polyurethane, EVA, Pelite™ and a combination of polyurethane and EVA: a preliminary study
- Evaluation of a novel stair-climbing transportation aid for emergency medical services
Articles in the same Issue
- Frontmatter
- Review
- Surrogate based continuous noninvasive blood pressure measurement
- Research Articles
- Smart automated heart health monitoring using photoplethysmography signal classification
- In vivo evaluation of two adaptive Starling-like control algorithms for left ventricular assist devices
- A patient-independent classification system for onset detection of seizures
- Prediction of salivary cortisol level by electroencephalography features
- Confocal laser microscopy without fluorescent dye in minimal-invasive thoracic surgery: an ex-vivo pilot study in lung cancer
- Spinal cord segmentation and injury detection using a Crow Search-Rider optimization algorithm
- Experimental and numerical investigations of fracture and fatigue behaviour of implant-supported bars with distal extension made of three different materials
- Compression and tension behavior of the prosthetic foam materials polyurethane, EVA, Pelite™ and a combination of polyurethane and EVA: a preliminary study
- Evaluation of a novel stair-climbing transportation aid for emergency medical services
