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Identifying and classifying hyperostosis frontalis interna via computerized tomography
Hila May
, Nathan Peled
,
Gali Dar
, Ori Hay
, Janan Abbas
, Youssef Masharawi
, Israel Hershkovitz
Department of Physical Therapy
Research output
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Contribution to journal
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peer-review
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Keyphrases
Computerized Tomography
100%
Hyperostosis Frontalis Interna
100%
Computed Tomography
37%
Reliability Test
25%
Skullcap
12%
Volume Rendering
12%
Interobserver Reliability
12%
Rating Classification
12%
Classification Methods
12%
Cadaver
12%
Positive Predictive Value
12%
Early Indicators
12%
Maladies
12%
Kappa Test
12%
Three-scale
12%
Radiological Characteristics
12%
Advanced Type
12%
Radiological Diagnosis
12%
Radiologists
12%
Interobserver
12%
Test Validity
12%
Engineering
Reliability Analysis
100%
Direct Observation
100%
Classification Method
50%
Volume Rendering
50%
Radiologist
50%
Good Result
50%
Nursing and Health Professions
Computer Assisted Tomography
100%
Hyperostosis
100%
Predictive Value
12%
Cadaver
12%
Radiologist
12%
Radiodiagnosis
12%
Psychology
Computerized Tomography
100%
Direct Observation
33%
Neuroscience
Computed Tomography
100%
Mathematics
Classification Method
100%