MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning

Cited by papers we hold 2

• Towards a guideline for evaluation metrics in medical image segmentation · 2022
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• Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation · 2022
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