├── CMRxMotion2022_testresult ├── maskpd │ ├── P022-1-ED.nii.gz │ ├── P022-1-ES.nii.gz │ ├── P022-2-ED.nii.gz │ ├── P022-2-ES.nii.gz │ ├── P022-3-ED.nii.gz │ ├── P022-3-ES.nii.gz │ ├── P022-4-ED.nii.gz │ ├── P022-4-ES.nii.gz │ ├── P024-1-ED.nii.gz │ ├── P024-1-ES.nii.gz │ ├── P024-2-ED.nii.gz │ ├── P024-2-ES.nii.gz │ ├── P024-3-ED.nii.gz │ ├── P024-3-ES.nii.gz │ ├── P024-4-ED.nii.gz │ ├── P024-4-ES.nii.gz │ ├── P026-1-ED.nii.gz │ ├── P026-1-ES.nii.gz │ ├── P026-2-ED.nii.gz │ ├── P026-2-ES.nii.gz │ ├── P026-3-ED.nii.gz │ ├── P026-3-ES.nii.gz │ ├── P026-4-ED.nii.gz │ ├── P026-4-ES.nii.gz │ ├── P028-1-ED.nii.gz │ ├── P028-1-ES.nii.gz │ ├── P028-2-ED.nii.gz │ ├── P028-2-ES.nii.gz │ ├── P028-3-ED.nii.gz │ ├── P028-3-ES.nii.gz │ ├── P028-4-ED.nii.gz │ ├── P028-4-ES.nii.gz │ ├── P030-1-ED.nii.gz │ ├── P030-1-ES.nii.gz │ ├── P030-2-ED.nii.gz │ ├── P030-2-ES.nii.gz │ ├── P030-3-ED.nii.gz │ ├── P030-3-ES.nii.gz │ ├── P030-4-ED.nii.gz │ └── P030-4-ES.nii.gz └── task1_testresult.csv ├── README.md ├── SegmentwithSAM.py ├── SegmentwithSAM2.py ├── SegmentwithVISTA3D.py ├── SegmentwithnnInteractive.py ├── configs ├── efficientmedsam_s_512_FLARE_RECIST.yaml ├── efficientmedsam_ti_512_FLARE_RECIST.yaml ├── efficienttam_ti_512.yaml ├── sam2.1_hiera_t512.yaml ├── sam2.1_hiera_tiny512_FLARE_RECIST.yaml └── sam2.1_hiera_tiny_finetune512.yaml ├── dataprocess ├── AugData.py ├── Augmain.py ├── Augmentation │ ├── ImageAugmentation.py │ ├── __init__.py │ ├── __pycache__ │ │ ├── ImageAugmentation.cpython-36.pyc │ │ ├── __init__.cpython-36.pyc │ │ └── images_masks_3dtransform.cpython-36.pyc │ └── images_masks_3dtransform.py ├── __pycache__ │ └── utils.cpython-36.pyc ├── data │ ├── trainaugdata.csv │ ├── traindata.csv │ ├── validata.csv │ ├── validata1.csv │ └── validation.7z ├── data3dpreparewithSize.py ├── dataAnaly.py ├── utils.py └── 说明文档.txt ├── example.py ├── flask_app.py ├── inference.py ├── model ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-36.pyc │ ├── dataset.cpython-36.pyc │ ├── losses.cpython-36.pyc │ ├── lovasz.cpython-36.pyc │ ├── metric.cpython-36.pyc │ ├── modelResNet.cpython-36.pyc │ ├── modelUnet.cpython-36.pyc │ ├── modelVNet.cpython-36.pyc │ └── visualization.cpython-36.pyc ├── dataset.py ├── losses.py ├── lossesSSIM.py ├── lossescldice.py ├── lovasz.py ├── metric.py ├── modelPixel2PixelGAN.py ├── modelResNet.py ├── modelUnet.py ├── modelVNet.py └── visualization.py ├── networks ├── AmlpUnet2d.py ├── KiUnet3d.py ├── MKUnet2d.py ├── ResNet2d.py ├── ResNet3d.py ├── ResUnet3d.py ├── SMT3d.py ├── STUNet3d.py ├── SwinSMT3d.py ├── TPDDNet.py ├── UNeXt2d.py ├── Unet2d.py ├── Unet3d.py ├── Unet3dthin.py ├── VNet2d.py ├── VNet3d.py ├── VNet3dregistration.py ├── VSNet.py ├── __init__.py ├── __pycache__ │ ├── ResNet2d.cpython-36.pyc │ ├── ResNet3d.cpython-36.pyc │ ├── Unet2d.cpython-36.pyc │ ├── Unet3d.cpython-36.pyc │ ├── VNet2d.cpython-36.pyc │ ├── VNet3d.cpython-36.pyc │ └── __init__.cpython-36.pyc └── smt.py └── train.py 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