Published July 21, 2021 | Version v1
Dataset Open

University of Manitoba Breast Microwave Imaging Dataset (UM-BMID)




Microwave-based breast cancer detection is a growing field that has been investigated as a potential novel method for breast cancer detection. Breast microwave sensing (BMS) systems use low-powered, non-ionizing microwave signals to interrogate the breast tissues. While some BMS systems have been evaluated in clinical trials, many challenges remain before these systems can be used as a viable clinical option, and breast phantoms (breast models) allow for rigorous and controlled experimental investigations. This dataset, the University of Manitoba Breast Microwave Imaging Dataset (UM-BMID), contains S-parameter measurements from experimental scans of MRI-derived breast phantoms, obtained with a pre-clinical breast microwave sensing system operating over 1-8 GHz. The dataset consists of measurements from over 1250 scans of a diverse array of phantoms. The phantom array consists of phantoms of various sizes and breast densities. The .stl files used to produce the 3D-printed phantoms are also included in the dataset. We hope that this dataset can serve as a resource for researchers in breast microwave sensing to evaluate signal processing, image reconstruction, and tumour detection methods.


This dataset uploaded to U-BRITE for "AI against CANCER DATA SCIENCE HACKATHON"


Tyson Reimer, Jordan Krenkevich, Stephen Pistorius, June 16, 2021, "University of Manitoba Breast Microwave Imaging Dataset (UM-BMID)", IEEE Dataport, doi:

U-BRITE last update date: 07/21/2021


U-BRITE location: /data/project/ubrite/cancer-hackathon/org/ieee-dataport/university-manitoba-breast-microwave-imaging-dataset-um-bmid


Files (3.2 GB)

Name Size Download all
350.5 MB Preview Download
2.8 GB Preview Download