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+Pytorch implementation for tumor segmenation from breast DCE-MRI using pre-trained models.
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+The code was written by Jun Zhang, Department of Radiology at Duke University.
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+Applications
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+Tumor segmentation
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+Prerequisites
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+Linux python 2.7
+pytorch version 2.0.2
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+NVIDIA GPU + CUDA CuDNN (CPU mode, untested) Cuda version 8.0.61
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+Getting Started
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+Installation
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+Install pytorch and dependencies from http://pytorch.org/
+Install numpy,scipy,scikit-image, and SimpleITK with pip install numpy scipy scikit-image SimpleITK
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+cd to current folder
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+Apply our Pre-trained Model with GPU
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+python Main.py --pre Data/Img0_pre.nii.gz --post Data/Img0_post.nii.gz
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+Citation
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+If you use this code for your research, please cite our paper:
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