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Breast Cancer Histopathological Image Classification
The Breast Cancer Histopathological Image Classification dataset contains images of breast cancer histopathology. -
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... -
BRACS: A Dataset for BReAst Carcinoma Subtyping
A large cohort of annotated Hematoxylin & Eosin (H&E)-stained images to advance the characterization of breast lesions. -
Breast Cancer Wisconsin (Diagnostics) dataset
The dataset used in this paper is the Breast Cancer Wisconsin (Diagnostics) dataset, which contains cytological characteristics of 699 breast fine-needle aspirates. -
Breast cancer subtypes
Breast cancer subtypes. -
Breast Cancer Wisconsin (Diagnostic) dataset
The Breast Cancer Wisconsin (Diagnostic) dataset is a collection of images of breast tissue, used for diagnostic purposes. The dataset consists of 569 images, each labeled with... -
UM-BMID dataset
UM-BMID dataset is a collection of reconstructed images of breast phantoms with various characteristics. -
Breast Cancer Dataset
Breast cancer dataset where mammograms have been labeled independently by three doctors. Ground-truth has been obtained through a biopsy, not available to the algorithm nor the... -
DDSM20 dataset
The DDSM20 dataset is used for experiments. -
BCS-DBT dataset
The BCS-DBT dataset is a publicly available dataset for breast cancer detection in digital breast tomosynthesis. -
Diagnostic breast cancer (contaminated)
The dataset is used for biomedical data and contains 30 input features computed from digitalized images of needle aspirates, with binary labels malignant/benign. The dataset is... -
Diagnostic breast cancer
The dataset is used for biomedical data and contains 30 input features computed from digitalized images of needle aspirates, with binary labels malignant/benign. -
ACROBAT 2022 Challenge
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue -
Mitosis domain generalization challenge
The MIDOG Challenge was a competition on mitosis detection held at the International Conference on Medical Image Computing and Computer Assisted Intervention, 2021. -
Breast Cancer Wisconsin
The dataset used in this study for exploring white-box attacks and defenses on quantum neural networks under depolarization noise. -
Breast Cancer Whole Slide Images
A dataset of 624 whole slide images (WSIs) of breast cancer from a Norwegian cohort.
