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BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
The Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix dataset contains 4870 registered image pairs, covering a variety of HER2 expression levels. -
BCS-DBT dataset
The BCS-DBT dataset is a publicly available dataset for breast cancer detection in digital breast tomosynthesis. -
CAMELYON-16
The CAMELYON-16 dataset is a public dataset for whole slide image analysis, containing 16,000 whole slide images of breast cancer histopathology slides. -
Breast Cancer Wisconsin (Original)
Breast Cancer Wisconsin (Original) dataset consists of 699 observations and 11 features -
Breast Cancer
A neural network with single-hidden layer of 64 hidden units and ReLU activations. A prior precision of ε = 1, a minibatch size of 128 and 16 Monte-Carlo samples are used for... -
Tabular Datasets
The paper uses four tabular datasets: Breast Cancer, Hepatitis, Indian Liver Patient, and Adults. -
The EMory BrEast imaging Dataset (EMBED)
A dataset of full-field digital mammography (FFDM) images acquired from 354 women. -
A curated mammography data set for use in computer-aided detection and diagno...
A dataset of full-field digital mammography (FFDM) images acquired from 479 patients. -
THE DIGITAL DATABASE FOR SCREENING MAMMOGRAPHY
A dataset of full-field digital mammography (FFDM) images acquired from 949 patients. -
EMBED (Jeong et al., 2023)
A dataset of full-field digital mammography (FFDM) images acquired from 116,000 women. -
INbreast dataset
Mammogram classification is directly related to computer-aided di-agnosis of breast cancer. Traditional methods rely on regions of interest (ROIs) which require great efforts to... -
Breast Cancer images dataset
Breast Cancer images dataset -
CAMELYON16
The CAMELYON16 dataset consists of 399 Hematoxylin & Eosin (H&E)-stained WSIs of sentinel axillary lymph node sections. The training set contains 111 WSIs with and 159... -
A Dataset for Breast Cancer Histopathological Image Classification
A dataset for breast cancer histopathological image classification -
Breast Cancer Detection using Histopathological Images
Breast cancer detection using histopathological images -
Breast Histopathology Images
The Breast Histopathology Images dataset is used for the diagnosis of Invasive Ductal Carcinoma (IDC) in breast cancer histopathology images. -
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. -
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
A breast cancer malignancy classification dataset using dynamic contrast-enhanced MRI images -
The Cancer Genome Atlas
The TCGA-HN cohort is a publicly available dataset which comprises 450 diagnostic H&E WSI of squamous cell carcinoma (SCC) cases from different sites of the head and neck...
