Segmentation of joint and musculoskeletal tissue in the study of arthritis

Magnetic Resonance Materials in Physics, Biology and Medicine

Volumn 29, Issue 2, 2016, Pages 207-221

  Pedoia, Valentina ^a   Majumdar, Sharmila ^a   Link, Thomas M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Hip; Image segmentation; Knee; MRI; Osteoarthritis; Rheumatoid arthritis; Wrist

Indexed keywords

ALGORITHM; ARTHRITIS; AUTOMATED PATTERN RECOGNITION; BONE; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; JOINT; MACHINE LEARNING; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SKELETAL MUSCLE;

ALGORITHMS; ARTHRITIS; BONE AND BONES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; JOINTS; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84963701150     PISSN: 09685243     EISSN: 13528661     Source Type: Journal    
DOI: 10.1007/s10334-016-0532-9     Document Type: Review

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