KongNet is a multi-headed neural network using a shared encoder and specialized decoders for joint nuclei centroid, mask, and contour prediction, achieving first or second place in MONKEY and MIDOG challenges plus top-three in PUMA and SOTA on PanNuke and CoNIC.
Aimagelab-zip-monkey-challenge-ziplab: Aimagelab zip unimore solution for the monkey challenge of radboud university medical center
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KongNet: A Multi-headed Deep Learning Model for Detection and Classification of Nuclei in Histopathology Images
KongNet is a multi-headed neural network using a shared encoder and specialized decoders for joint nuclei centroid, mask, and contour prediction, achieving first or second place in MONKEY and MIDOG challenges plus top-three in PUMA and SOTA on PanNuke and CoNIC.