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Volumn 17, Issue , 2014, Pages 429-437
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Quantifying progression of multiple sclerosis via classification of depth videos
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NONE
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Author keywords
[No Author keywords available]
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Indexed keywords
ARTIFICIAL INTELLIGENCE;
AUTOMATED PATTERN RECOGNITION;
COMPLICATION;
COMPUTER ASSISTED DIAGNOSIS;
DISEASE COURSE;
HUMAN;
MOVEMENT DISORDERS;
MULTIPLE SCLEROSIS;
NEUROLOGIC EXAMINATION;
PROCEDURES;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
THREE DIMENSIONAL IMAGING;
VIDEORECORDING;
WHOLE BODY IMAGING;
ARTIFICIAL INTELLIGENCE;
DIAGNOSTIC TECHNIQUES, NEUROLOGICAL;
DISEASE PROGRESSION;
HUMANS;
IMAGE INTERPRETATION, COMPUTER-ASSISTED;
IMAGING, THREE-DIMENSIONAL;
MOVEMENT DISORDERS;
MULTIPLE SCLEROSIS;
PATTERN RECOGNITION, AUTOMATED;
REPRODUCIBILITY OF RESULTS;
SENSITIVITY AND SPECIFICITY;
VIDEO RECORDING;
WHOLE BODY IMAGING;
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EID: 84922318672
PISSN: None
EISSN: None
Source Type: Journal
DOI: None Document Type: Article |
Times cited : (18)
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References (0)
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