nobodyplayer1/VM-UNetV2Public NotificationsYou must be signed in to change notification settings Fork7 Star58 Files main configs data datasets models pre_trained_weights unet_v2 .gitignore LICENSE README.md engine.py engine_synapse.py train.py ...
作者对比了VM-UNet与一些最先进模型的性能,并在表1和表2中展示了实验结果。 对于ISIC17和ISIC18数据集,VM-UNet在mIoU、DSC和Acc指标上超过了其他模型。对于Synapse数据集,VM-UNet也取得了具有竞争力的表现。例如,VM-UNet在DSC和HD95指标上分别超过了Swin-UNet——这是第一种纯粹的基于Transformer的模型——1.95%...
nobodyplayer1/VM-UNetV2Public NotificationsYou must be signed in to change notification settings Fork9 Star76 main 1Branch 0Tags Code Folders and files Name Last commit message Last commit date Latest commit Cannot retrieve latest commit at this time. ...
Files main configs data datasets models pre_trained_weights unet_v2 .gitignore LICENSE README.md engine.py engine_synapse.py train.py train_gim.py train_isic_all.py train_npy.py train_synapse.py utils.py