MoNuSeg dataset

doi:doi:10.57702/e1r4ueix

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 including breast, kidney, liver, prostate, bladder, colon and stomach, each of size 1, 000 × 1, 000 pixels. There are in total 21,713 nuclear boundary annotations drawn by domain experts.

BibTex:

@dataset{Yibao_Sun_and_Xingru_Huang_and_Huiyu_Zhou_and_Qianni_Zhang_2024,
    abstract = {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 including breast, kidney, liver, prostate, bladder, colon and stomach, each of size 1, 000 × 1, 000 pixels. There are in total 21,713 nuclear boundary annotations drawn by domain experts.},
    author = {Yibao Sun and Xingru Huang and Huiyu Zhou and Qianni Zhang},
    doi = {10.57702/e1r4ueix},
    institution = {No Organization},
    keyword = {'MoNuSeg', 'Multi-Organ Nucleus', 'Segmentation', 'cell nuclei', 'cell segmentation', 'digital pathology', 'histology images', 'histopathology', 'microscopic images', 'multi-organ', 'nuclei annotation', 'nuclei segmentation', 'segmentation'},
    month = {dec},
    publisher = {TIB},
    title = {MoNuSeg dataset},
    url = {https://service.tib.eu/ldmservice/dataset/monuseg-dataset},
    year = {2024}
}