Shypd.aiThe largest open index of AI toolshover_net is an open-source AI tool for simultaneous nuclear instance segmentation and classification in H&E histology images. It uses a multiple branch network to separate clustered cells and classify nuclear types.
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hover_net is an open-source PyTorch implementation designed for simultaneous nuclear instance segmentation and classification in H&E histology images. This advanced network leverages horizontal and vertical distances of nuclear pixels to their centers of mass, effectively separating clustered cells. A dedicated up-sampling branch is integrated to classify the nuclear type for each segmented instance. The repository supports both training HoVer-Net and processing image tiles or whole-slide images, offering pre-trained model weights for various datasets like CoNSeP, PanNuke, MoNuSAC, Kumar, and CPM17. It provides detailed instructions for environment setup, data formatting, training, and inference, making it a comprehensive solution for histology image analysis.
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