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Volumn 155, Issue 12, 2014, Pages 2502-2509

Preliminary structural MRI based brain classification of chronic pelvic pain: A MAPP network study

Author keywords

Gray matter density; Machine learning; Support vector machine; SVM; UCPPS

Indexed keywords

ADULT; AMYGDALOID NUCLEUS; ARTICLE; BRAIN; BRAIN REGION; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE CLASSIFICATION; FEMALE; GRAY MATTER; HIPPOCAMPUS; HUMAN; MORPHOLOGY; NEUROANATOMY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PATIENT CODING; PELVIS PAIN SYNDROME; PREDICTIVE VALUE; PRIMARY SOMATOSENSORY CORTEX; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SUPPLEMENTARY MOTOR AREA; SUPPORT VECTOR MACHINE; VISCERAL PAIN; CHRONIC PAIN; CLASSIFICATION; FOLLOW UP; IMAGE PROCESSING; MIDDLE AGED; PATHOLOGY; PELVIC PAIN; PSYCHOLOGICAL RATING SCALE; QUESTIONNAIRE;

EID: 84922694018     PISSN: 03043959     EISSN: 18726623     Source Type: Journal    
DOI: 10.1016/j.pain.2014.09.002     Document Type: Article
Times cited : (76)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.