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EMCAD/utils
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梁国樑 9407353dd3
feat: 上传EMCAD项目完整代码及数据 		2 weeks ago
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README.md feat: 上传EMCAD项目完整代码及数据 2 weeks ago
dataloader.py feat: 上传EMCAD项目完整代码及数据 2 weeks ago
dataset_ACDC.py feat: 上传EMCAD项目完整代码及数据 2 weeks ago
dataset_synapse.py feat: 上传EMCAD项目完整代码及数据 2 weeks ago
format_conversion.py feat: 上传EMCAD项目完整代码及数据 2 weeks ago
joint_transforms.py feat: 上传EMCAD项目完整代码及数据 2 weeks ago
misc.py feat: 上传EMCAD项目完整代码及数据 2 weeks ago
preprocess_synapse_data.py feat: 上传EMCAD项目完整代码及数据 2 weeks ago
preprocess_synapse_data_3d.py feat: 上传EMCAD项目完整代码及数据 2 weeks ago
transforms.py feat: 上传EMCAD项目完整代码及数据 2 weeks ago
utils.py feat: 上传EMCAD项目完整代码及数据 2 weeks ago

README.md

Synapse Multi-organ dataset: Sign up in the official Synapse website and download the dataset. Then split the 'RawData' folder into 'TrainSet' (18 scans) and 'TestSet' (12 scans) following the TransUNet's lists and put in the './data/synapse/Abdomen/RawData/' folder. Finally, preprocess using python ./utils/preprocess_synapse_data.py or download the preprocessed data and save in the './data/synapse/' folder. Note: If you use the preprocessed data from TransUNet, please make necessary changes (i.e., remove the code segment (line# 88-94) to convert groundtruth labels from 14 to 9 classes) in the utils/dataset_synapse.py.