5 datasets found

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  • Hover-net

    This dataset is used for simultaneous segmentation and classification of nuclei in multi-tissue histology images.

  • MONu

    This dataset is used for nuclei instance segmentation on histopathology images. It consists of 30 nuclei images of size 1000 x 1000 with 658 nuclei per image on average.

  • MoNuSeg dataset

    The MoNuSeg dataset is published for the Multi-organ Nuclei Segmentation challenge in MICCAI 2018. The training dataset consists of 30 images generated from multiple organs...

  • CoNSeP

    CoNSeP dataset consists of 41 H&E stained image tiles, each of size 1000x1000 pixels at 40x objective magnification, with annotations of seven types of nuclei: malignant,...

  • PanNuke

    PanNuke dataset consists of 6078 H&E tiles, each of size 256x256, covering 19 different tissue types. It was designed for nuclei instance classification and segmentation and...