15 datasets found

Formats: JSON Tags: nuclei segmentation

Filter Results

  • 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.

  • Nuclei Segmentation Challenge 2018 dataset

    The dataset for nuclei segmentation task.

  • Routine Colon Cancer (RCC) classification and detection dataset

    The dataset for nuclei classification, segmentation, and detection tasks.

  • GLySAC

    GLySAC consists of 59 H&E images of size 1000×1000 pixels, and split into 34 train images and 25 test images.

  • DSB2018

    The dataset used in the paper is a real-world dataset for testing the parametric efficiency of quadratic networks.

  • BBBC039V1

    Unsupervised domain adaptation for nuclei instance segmentation in histopathology images

  • 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...

  • ISBI 2017 Dataset

    The dataset used for lymphoma classification, IDC detection, nuclei segmentation, epithelium segmentation, tubule segmentation, lymphocyte detection, and mitosis detection.

  • 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...

  • Lizard

    Multi-class histopathology nuclei analysis tasks, the lack of training data becomes a main bottleneck for the performance of learning-based methods.

  • CPM17

    The dataset used for histopathology image segmentation and classification.

  • Kumar

    The dataset used for histopathology image segmentation and classification.

  • MoNuSeg

    The MoNuSeg dataset comprises 30 microscopic images from seven organs in the training set, with annotations of 21,623 individual nuclei, and 14 similar images in the test set.
You can also access this registry using the API (see API Docs).