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Segmentation on IBIS-subcort (test)

0.93Mdn DiceOurs w/o Lcs
0.889440.899970.91050.92103Jun 9, 2022

Evaluation results

MethodLinks
Ours w/o Lcstraining_set_proportion=100%, loss_config=without consistency loss2022.060.93——10.876.6660.901——
Ours w/ 0.1Lcstraining_set_proportion=100%, loss_config=consistency loss weight 0.12022.060.926——10.8635.2980.91——
LNEtraining_set_proportion=100%2022.060.924——10.8595.2530.911——
PatchNCEtraining_set_proportion=100%2022.060.924——1.0010.865.470.91——
Ours w/ 0.1Lcstraining_mode=few-shot, finetuning_percentage=10%, Lcs_weight=0.12022.060.92——1.0020.8535.0770.91——
RandInitUnet.3Dtraining_set_proportion=100%, architecture=3D Unet2022.060.917——1.730.8475.5170.916——
Ours w/ 1Lcstraining_set_proportion=100%, loss_config=consistency loss weight 1.02022.060.917——10.8464.6050.926——
Ours w/o Lcstraining_mode=few-shot, finetuning_percentage=10%, Lcs_weight=02022.060.916——1.0010.8465.5210.908——
PatchNCEtraining_mode=few-shot, finetuning_percentage=10%2022.060.915——1.0040.8445.8710.908——
Ours w/ 1Lcstraining_mode=few-shot, finetuning_percentage=10%, Lcs_weight=12022.060.913——1.0020.844.6550.925——
GLCLtraining_set_proportion=100%2022.060.909——1.0110.8344.1910.917——
PCLtraining_set_proportion=100%2022.060.909——1.0060.8334.1220.918——
LNEtraining_mode=few-shot, finetuning_percentage=10%2022.060.909——1.8450.8345.8070.911——
Context Restoretraining_set_proportion=100%2022.060.906——1.0110.8284.1250.922——
RandInitUnet.3Dtraining_mode=few-shot, finetuning_percentage=10%2022.060.905——1.8190.8275.5310.911——
GLCLtraining_mode=few-shot, finetuning_percentage=10%2022.060.9——2.4860.8194.3690.913——
PCLtraining_mode=few-shot, finetuning_percentage=10%2022.060.9——2.8810.8194.4790.911——
RandInitUnet.2Dtraining_set_proportion=100%, architecture=2D Unet2022.060.898——2.6340.8154.3080.917——
Context Restoretraining_mode=few-shot, finetuning_percentage=10%2022.060.898——2.240.8154.8950.918——
RandInitUnet.2Dtraining_mode=few-shot, finetuning_percentage=10%2022.060.891——2.390.8044.6180.909——