Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture

1 code implementation • 24 Sep 2019 • Rüdiger Schmitz, Frederic Madesta, Maximilian Nielsen, Jenny Krause, René Werner, Thomas Rösch

The findings demonstrate the potential of the presented family of human-inspired, end-to-end trainable, multi-scale multi-encoder FCNs to improve deep histopathologic diagnosis by extensive integration of largely different spatial scales.

Image Segmentation Semantic Segmentation +1