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

van Rijthoven, Mart; Balkenhol, Maschenka; Siliņa, Karina; van der Laak, Jeroen; Ciompi, Francesco

doi:10.1016/j.media.2020.101890

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

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. Concentric patches at multiple resolutions with different fields of view, feed different branches of …