Table 1 Quicksummary on deep learning frameworks for the OA knee segmentation and prediction.
Authors | Techniques used | Accuracy | Computational complexity | Training time | Processing speed | Standard Deviation | Mean | Memory consumption | Power requirement | Robustness | AUC | Overfitting issues |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sindhu et al. | CNN | ✔ Average | ✘ High | ✘ High | ✘ low | Not analyzed | Not analyzed | ✘ High | ✔ Average | ✔ Average | ✘ less | ✘ High |
Dalia et al.20 | VGG16, Resnet | ✔ Average | ✘ High | ✘ High | ✘ low | Not analyzed | Not analyzed | ✘ High | ✘ High | ✘ low | ✔ Average | ✘ High |
Shen et al.21 | CNN, ResNet and DeepLabV3P | ✘ Low | ✔ Average | ✔ Average | ✔ Average | ✘ High | ✔ Average | ✔ Average | ✘ less | ✘ High | ||
Janarthanan et al.22 | Support Vector Machine (SVM), Naive Bayes (NB), Linear Discriminant Analysis (LDA) | ✔ Average | ✘ High | ✘ High | ✘ low | Not analyzed | Not analyzed | ✔ Average | ✘ High | ✘ low | ✔ Average | ✘ High |
Felfeliyan et al.23 | CycleGAN | ✔ Average | ✘ High | ✘ High | ✘ low | Not analyzed | Not analyzed | ✘ High | ✔ Average | ✔ High | ✘ less | ✘ High |
Viekash et al.24 | CNN | ✔ Average | ✔ Average | ✘ High | ✘ low | Not analyzed | Not analyzed | ✔ Average | ✔ Average | ✔ Average | ✘ High | |
Yan et al.25 | Regression methods and heatmaps | ✔ Average | ✘ High | Not analyzed | Not analyzed | ✘ High | ✘ High | ✘ low | ✔ Average | ✘ High | ||
Azcona et al.26 | Transfer learning | ✘ Low | ✔ Average | ✘ High | ✘ low | Not analyzed | Not analyzed | ✔ Average | ✘ High | ✘ low | ✔ Average | ✘ High |
Supatman et al.27 | DCNN | ✔ Average | ✘ High | ✔ Average | ✔ Average | Not analyzed | Not analyzed | ✔ Average | ✘ High | ✔ Average | ✔ Average | ✘ High |
Zhang et al.28 | CNN | ✔ Average | ✔ Average | ✔ Average | ✔ Average | Not analyzed | Not analyzed | ✘ High | ✘ High | ✔ Average | ✔ Average | ✘ High |
Rahman et al.31 | Multi-view CNN | ✔ AboveAverage | ✔ AboveAverage | ✔ Average | ✔ Average | Not analyzed | Not analyzed | ✘ High | ✔ Average | ✔ Average | ✔ Average | ✘ High |
Pan et al.29 | Hierarchical CNN + Segmentation | ✘ High | ✘ High | ✘ High | ✘ Low | ✔ Average | ✔ Average | ✘ High | ✘ High | ✔ Average | ✘ High | ✘ High |
Chen et al.30 | Vision Transformer | ✘ High | ✘ High | ✘ High | ✘ Low | Not analyzed | Not analyzed | ✘ High | ✘ High | ✘ High | ✘ High | ✘ High |
