40 datasets found

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

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

The dataset is used for breast cancer diagnosis in ultrasound videos.

The proposed framework uses three benchmark datasets and one synthetic dataset.

The dataset used in the paper is the Breast Cancer Risk Assessment (BCRA) Tool dataset, which contains information on women's medical and reproductive history, history of breast...

The dataset is used for analysis of microwave radiothermometry data and contains results of computational experiments.

The dataset is used for analysis of microwave radiothermometry data and contains results of computational experiments.

The dataset used for outlier detection in settings where data is sensitive, mechanisms which guarantee the privacy of the underlying data are needed.

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...

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...

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 Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix dataset contains 4870 registered image pairs, covering a variety of HER2 expression levels.

The BCS-DBT dataset is a publicly available dataset for breast cancer detection in digital breast tomosynthesis.

The BRACS dataset is a public dataset for whole slide image analysis, containing 1,000 whole slide images of breast cancer histopathology slides.

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) dataset consists of 699 observations and 11 features

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...