29 datasets found

The BACH dataset contains images of breast cancer histology.

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

A dataset of hyperspectral Raman images of MDA-MB-231 breast cancer cells.

A large cohort of annotated Hematoxylin & Eosin (H&E)-stained images to advance the characterization of breast lesions.

The dataset used in this paper is a database of 1191 whole genome gene expression experiments in biopsy captured tissue from primary breast cancer patients and healthy controls.

The dataset used in this paper is a curated breast cancer gene expression data set.

The BMMR2 challenge dataset, sourced from the ACRIN 6698 multi-center study, encompasses 191 participants from diverse institutions. The challenge organizers pre-divided it into...

Breast cancer subtypes.

The METABRIC dataset contains clinical data for breast cancer patients, including features and event times.

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...

The DDSM20 dataset is used for experiments.

A comprehensive analysis of mammogram images to develop an enhanced understanding of different risk categories associated with breast cancer.

The MIDOG21 and TUPAC16 datasets were used for training and testing the proposed hierarchical anchor-free object detection pipeline.

The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue

Breast cancer dataset for automatic detection, segmentation, and classification of breast lesions in mammography images

A dataset of full-field digital mammography (FFDM) images acquired from 354 women.

A dataset of full-field digital mammography (FFDM) images acquired from 479 patients.

A dataset of full-field digital mammography (FFDM) images acquired from 949 patients.

A dataset of full-field digital mammography (FFDM) images acquired from 116,000 women.

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...