Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks

Proceedings - International Conference on Pattern Recognition

Volumn 0, Issue , 2016, Pages 1195-1200

  Antony, Joseph ^a   McGuinness, Kevin ^a   O'Connor, Noel E ^a   Moran, Kieran ^a  

^a DUBLIN CITY UNIVERSITY   (Ireland)

Author keywords

Classification; Convolutional neural network; KL grades; Knee osteoarthritis; Regression; Wndchrm

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONVOLUTION; FORECASTING; IMAGE ENHANCEMENT; MEAN SQUARE ERROR; NEURAL NETWORKS; PATTERN RECOGNITION; X RAY RADIOGRAPHY;

CLASSIFICATION ACCURACY; CONVOLUTIONAL NEURAL NETWORK; DEEP CONVOLUTIONAL NEURAL NETWORKS; EVALUATION METRICS; KNEE OSTEOARTHRITIS; REGRESSION; REGRESSION PROBLEM; WNDCHRM;

DEEP NEURAL NETWORKS;

EID: 85019158805     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2016.7899799     Document Type: Conference Paper

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