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Top-1 and Top-3 accuracy of the anatomical region recognition models.
| Model | Top-1 Accuracy (%) | Top-3 Accuracy (%) |
|---|---|---|
| EfficientNet V2-M | 17.61 | 48.00 |
| MobileNet V2 | 20.40 | 60.17 |
| DenseNet-161 | 24.87 | 66.77 |
| ResNetV2-101 | 26.08 | 66.09 |
All models were fine-tuned in 4 sequences(Seq_003,Seq_011,Seq_013,Seq_093) on top of ImageNet pre-trained weights, and tested on Seq_094.
