├── ALMN_pr22 ├── Model │ ├── TokenSegV2.py │ ├── TokenSegV4_wprotcon.py │ ├── affinitynetutil.py │ ├── affrefine3D.py │ ├── attention.py │ ├── pr_affinity_fusionv1.py │ ├── pr_affinity_fusionv2.py │ ├── pr_attention_fusionv3.py │ ├── pr_attention_fusionv3_MAML.py │ ├── pr_network1.py │ ├── pr_network2.py │ └── runet.py ├── dataset │ ├── BKUP │ │ ├── dataset_lits_test.py │ │ └── dataset_lits_train.py │ ├── __pycache__ │ │ ├── dataset_lits_test.cpython-36.pyc │ │ ├── dataset_lits_test.cpython-37.pyc │ │ ├── dataset_lits_train.cpython-36.pyc │ │ ├── dataset_lits_train.cpython-37.pyc │ │ └── dataset_lits_train_.cpython-36.pyc │ ├── dataset_lits_test.py │ └── dataset_lits_train.py ├── main_ALMN.py ├── options │ ├── BasicOptions.py │ ├── Options.py │ └── __pycache__ │ │ ├── BasicOptions.cpython-36.pyc │ │ ├── BasicOptions.cpython-37.pyc │ │ ├── Options.cpython-36.pyc │ │ └── Options.cpython-37.pyc ├── test_ALMN.py ├── test_two_net_saveresult.py └── utils │ ├── __pycache__ │ ├── common.cpython-36.pyc │ ├── common.cpython-37.pyc │ ├── logger.cpython-36.pyc │ ├── logger.cpython-37.pyc │ ├── metrics.cpython-36.pyc │ ├── metrics.cpython-37.pyc │ ├── util.cpython-36.pyc │ └── util.cpython-37.pyc │ ├── common.py │ ├── logger.py │ ├── metrics.py │ ├── util.py │ └── weights_init.py ├── Model ├── DMFnet.py ├── MTLN.py ├── Models_MHL3D.py ├── PLHN.py ├── ResTranUnet.py ├── TokenSegV8_prototype_fusion_attentions.py ├── TransBTS.py ├── TransBTS16.py ├── UXNet_3D.py ├── apformer.py ├── attention.py ├── modelv5 │ ├── __pycache__ │ │ ├── contrast.cpython-38.pyc │ │ ├── logger.cpython-38.pyc │ │ ├── loss_proto.cpython-38.pyc │ │ └── sinkhorn.cpython-38.pyc │ ├── contrast.py │ ├── logger.py │ ├── loss_proto.py │ └── sinkhorn.py ├── network │ ├── BackBone.py │ ├── BiVAblock.py │ ├── CmsVNet.py │ ├── MTLN.py │ ├── README.md │ ├── SENet.py │ └── __pycache__ │ │ ├── BackBone.cpython-38.pyc │ │ ├── BiVAblock.cpython-38.pyc │ │ ├── MTLN.cpython-38.pyc │ │ └── SENet.cpython-38.pyc ├── pr_attention_fusionv3_MAML.py ├── pr_network1.py ├── pr_network2.py ├── runet.py ├── runetcas.py ├── swin_3D.py ├── swin_transformer_unet_skip_expand_decoder_sys.py ├── unetr.py ├── vision_transformer.py └── vnet_sdf.py ├── README.md ├── checkpoints └── task1_breast_tumor │ └── model │ └── __init__.py ├── data └── data_folder │ └── test3.txt ├── dataset ├── BKUP │ ├── dataset_lits_test.py │ └── dataset_lits_train.py ├── __pycache__ │ ├── dataset_lits_test.cpython-36.pyc │ ├── dataset_lits_test.cpython-37.pyc │ ├── dataset_lits_train.cpython-36.pyc │ ├── dataset_lits_train.cpython-37.pyc │ └── dataset_lits_train_.cpython-36.pyc ├── breastdatapre.py ├── dataset_lits_test.py └── dataset_lits_train.py ├── evaluation ├── test.py ├── test_MHL.py ├── test_PLHN.py ├── test_mtln.py ├── test_two_net.py └── test_vnet.py ├── img ├── TMI2.png ├── TMI3.png └── tmi1.png ├── options ├── BasicOptions.py ├── Options.py └── __pycache__ │ ├── BasicOptions.cpython-36.pyc │ ├── BasicOptions.cpython-37.pyc │ ├── Options.cpython-36.pyc │ └── Options.cpython-37.pyc ├── radiomics ├── RUXIAN │ ├── __pycache__ │ │ ├── 机器学习.cpython-39.pyc │ │ └── 机器学习调参.cpython-39.pyc │ ├── calculate_mean.py │ ├── mlclass.py │ └── train.py └── feature │ ├── 1648_0.csv │ └── 1648_1.csv ├── training ├── main.py ├── main_MHL.py ├── main_PLHN.py └── main_vnet.py └── utils ├── __pycache__ ├── common.cpython-36.pyc ├── common.cpython-37.pyc ├── logger.cpython-36.pyc ├── logger.cpython-37.pyc ├── metrics.cpython-36.pyc ├── metrics.cpython-37.pyc ├── util.cpython-36.pyc └── util.cpython-37.pyc ├── common.py ├── logger.py ├── metrics.py ├── util.py └── weights_init.py /ALMN_pr22/Model/TokenSegV2.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhouL-lab/PLHN/HEAD/ALMN_pr22/Model/TokenSegV2.py -------------------------------------------------------------------------------- /ALMN_pr22/Model/TokenSegV4_wprotcon.py: 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