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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 -
Atlas of Digital Pathology (ADP)
The Atlas of Digital Pathology (ADP) dataset is a collection of histopathological images from different organs, annotated at the patch level. -
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. -
Synthetic Generation of 3D Cancer Cell Models from Histopathological Images
Synthetic generation of three-dimensional cell models from histopathological images -
WSSS4LUAD Challenge Dataset
The WSSS4LUAD challenge dataset contains 10,091 patch-level annotations and over 130 million labeled pixels from 87 WSIs of lung adenocarcinoma. -
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. -
HE-Staining Variation (HEV) dataset
HE-Staining Variation (HEV) dataset is used to train and evaluate the proposed stain normalization method. -
Multi-scanner canine cutaneous tumor dataset
Multi-scanner canine cutaneous tumor dataset, used for tumor segmentation. -
Multi-scanner canine cutaneous squamous cell carcinoma histopathology dataset
Multi-scanner canine cutaneous squamous cell carcinoma histopathology dataset, used for mitotic figure segmentation. -
Private Breast Cancer Lymph Node Dataset
A private dataset of breast cancer lymph nodes, where the primary task was to segment germinal centres and sinus histiocytosis. -
Colon Cancer histopathology dataset
The dataset contains 100 images obtained from tissues of either normal or malignant patient tissues.
