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  # Endometrical cancer segmentation
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- This repository contains a model trained based on the data from the study [Automated segmentation of endometrial cancer on MR images using deep learning](https://link.springer.com/content/pdf/10.1038/s41598-020-80068-9.pdf) with the objective of reproducing the reported results.
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  The source code for training and running inference on your own data is available at: https://github.com/MMIV-ML/fastMONAI/tree/master/research/endometrical_cancer.
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  # Endometrical cancer segmentation
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+ This repository contains trained weigts and exported learner for a residual U-Net trained on the data from the study [Automated segmentation of endometrial cancer on MR images using deep learning](https://link.springer.com/content/pdf/10.1038/s41598-020-80068-9.pdf) with the objective of reproducing the reported results.
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  The source code for training and running inference on your own data is available at: https://github.com/MMIV-ML/fastMONAI/tree/master/research/endometrical_cancer.
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