Copyright
©The Author(s) 2022.
World J Orthop. Jun 18, 2022; 13(6): 603-614
Published online Jun 18, 2022. doi: 10.5312/wjo.v13.i6.603
Published online Jun 18, 2022. doi: 10.5312/wjo.v13.i6.603
Parameter | |
Accuracy | Determines the accuracy of the standalone model inaccuracy to detect the presence of KOA and its classification in the input image |
Precision | True positive/true positive + false positive |
Recall | True positive/true positive + false negative |
Loss | Determines the loss of the model |
- Citation: Tiwari A, Poduval M, Bagaria V. Evaluation of artificial intelligence models for osteoarthritis of the knee using deep learning algorithms for orthopedic radiographs. World J Orthop 2022; 13(6): 603-614
- URL: https://www.wjgnet.com/2218-5836/full/v13/i6/603.htm
- DOI: https://dx.doi.org/10.5312/wjo.v13.i6.603