25 datasets found

Formats: JSON Tags: histopathology

Filter Results

  • Breast Cancer Histopathological Image Classification

    The Breast Cancer Histopathological Image Classification dataset contains images of breast cancer histopathology.

  • MIDOG21 Dataset

    A dataset used for testing the proposed Deep Feature Learning method for histopathology image classification.

  • In-House Dataset

    A dataset used for training and testing the proposed Deep Feature Learning method for histopathology image classification.

  • Evaluation dataset for histopathology image classification

    A dataset composed of 35334 breast histopathology images at zoom x5 (1.76 µm per pixel) distributed amongst 23 imbalanced classes, which include both common tumor and benign...

  • MITOS_WSI_CMC

    Whole slide image annotation dataset for selective whole slide image annotation

  • Leveraging Image Captions for Selective Whole Slide Image Annotation

    Whole slide image annotation dataset for selective whole slide image annotation

  • Self-Rule to Multi-Adapt

    The dataset used in the paper for colorectal cancer tissue detection, consisting of H&E stained whole slide images (WSIs) of different tissue types.

  • CCRCC

    This dataset is used for nuclei grading of clear cell renal cell carcinoma in histopathological 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.

  • Camelyon17 Dataset

    A dataset used for testing the proposed Deep Feature Learning method for histopathology image classification.

  • CATCH dataset

    The CATCH dataset is used to test the proposed Style-Extracting Diffusion Models (STEDM) for canine cancer histology image segmentation.

  • HER2 dataset

    The HER2 dataset is used to test the proposed Style-Extracting Diffusion Models (STEDM) for histopathology image segmentation.

  • PanNuke dataset

    The PanNuke dataset comprises H&E stained images with a resolution of 256×256 pixels, totaling 7,904 images from 19 different tissue types.

  • TCGA-BRCA

    The dataset used in the paper for whole slide image (WSI) classification, which is a type of digital pathology. The dataset consists of histopathology and cytopathology images,...

  • ACROBAT 2022 Challenge

    The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue

  • 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...

  • TCGA dataset

    The dataset used in this paper is the TCGA dataset, which contains somatic genomic alterations (SGAs) and differentially expressed genes (DEGs) of 4,468 tumors.

  • Colon Cancer histopathology dataset

    The dataset contains 100 images obtained from tissues of either normal or malignant patient tissues.

  • 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,...
You can also access this registry using the API (see API Docs).