Shannon entropy and fuzzy C-means weighting for AI-based diagnosis of vertebral column diseases

Degenerative vertebral column diseases are becoming increasingly common and computer-aided decision-making and diagnosis systems are gaining popularity. In this paper, we propose a machine learning decision-making model based on noninvasive panoramic radiographs to tackle the problem of automated di...

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Veröffentlicht in:	Journal of ambient intelligence and humanized computing Jg. 11; H. 6; S. 2557 - 2566
Hauptverfasser:	Alafeef, Maha, Fraiwan, Mohammad, Alkhalaf, Hussain, Audat, Ziad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2020 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Artificial Intelligence Artificial neural networks Biomechanics Classification Clustering Computational Intelligence Computer aided decision processes Datasets Decision making Decision trees Diagnosis Disease Engineering Entropy Entropy (Information theory) Hospitals Machine learning Magnetic resonance imaging Neural networks Original Research Orthopedics Pelvis Robotics and Automation Spinal cord Surgeons User Interfaces and Human Computer Interaction Vertebrae Weighting X-rays Shannon entropy Spondylolisthesis Fuzzy C-means Vertebral column diseases Herniated disk
ISSN:	1868-5137, 1868-5145
Online-Zugang:	Volltext
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