20 CT scans and expert segmentations of patients with COVID-19
Milletari, Fausto, Nassir Navab, and Seyed-Ahmad Ahmadi. "V-net: Fully convolutional neural networks for volumetric medical image segmentation." In 2016 fourth international conference on 3D vision (3DV), pp. 565-571. IEEE, 2016.
| Backbone | Resolution | lr | Training Iters | Dice | Links |
|---|---|---|---|---|---|
| - | 128x128x128 | 0.001 | 15000 | 97.04% | model | log | vdl |
| - | 128x128x128 | 0.0003 | 15000 | 92.70% | model | log | vdl |
Çiçek, Özgün, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, and Olaf Ronneberger. "3D U-Net: learning dense volumetric segmentation from sparse annotation." In International conference on medical image computing and computer-assisted intervention, pp. 424-432. Springer, Cham, 2016.
| Backbone | Resolution | lr | Training Iters | Dice | Links |
|---|
To be continue.