Lung Nodule Segmentation On Luna
Metrics
AUC
F1 score
Results
Performance results of various models on this benchmark
Model Name | AUC | F1 score | Paper Title | Repository |
|---|---|---|---|---|
| U-Net | 0.9784 | 0.9658 | U-Net: Convolutional Networks for Biomedical Image Segmentation | |
| CE-Net | - | - | CE-Net: Context Encoder Network for 2D Medical Image Segmentation | |
| ET-Net | - | - | ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation | |
| Residual U-Net | 0.9849 | 0.9690 | Road Extraction by Deep Residual U-Net | |
| BCDU-Net (d=3) | 0.9946 | 0.9904 | Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions |
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