Distance Map Loss Penalty Term for Semantic Segmentation

10 Aug 2019Francesco CalivaClaudia IriondoAlejandro Morales MartinezSharmila MajumdarValentina Pedoia

Convolutional neural networks for semantic segmentation suffer from low performance at object boundaries. In medical imaging, accurate representation of tissue surfaces and volumes is important for tracking of disease biomarkers such as tissue morphology and shape features... (read more)

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