HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images

1 code implementation • 22 Jun 2020 • Mart van Rijthoven, Maschenka Balkenhol, Karina Siliņa, Jeroen van der Laak, Francesco Ciompi

We propose HookNet, a semantic segmentation model for histopathology whole-slide images, which combines context and details via multiple branches of encoder-decoder convolutional neural networks.

Image Segmentation Segmentation +3