Explore Our Breast Image Case Studies*
At CureMetrix, we are designing our image analysis platform to empower physicians with the objective data they need to support patients as they make decisions with their healthcare team about their breast health. Our image analysis platform has the potential to quickly detect key regions of interest on a mammogram, and accurately quantify and classify the anomalies as suspicious or verifiably benign. We are developing a unique, data-driven “breast health score” that we believe, once validated, will allow physicians to confirm their initial evaluation of mammograms and to track patients’ breast health over time.
Case Study 1
Early Detection: in a blind review of prior images for this particular patient, the CureMetrix algorithm was able to detect and quantify an anomaly and show its evolution over time.
Case Study 2
In this example of a dense breast, the CureMetrix algorithm was able to detect and mark an anomaly.
Case Study 3
In this example of a small dense breast with breast implants, the CureMetrix Algorithm was able to detect and mark an anomaly and distinguish it from the background noise.
Case Study 4
Early Detection: In a blind review of prior images for this patient, the CureMetrix algorithm was sensitive enough to detect this minute cluster of micro calcifications, specific enough to only mark the relevant anomalies, and show its evolution 3 years later.
Case Study 5
Reduction of False Positives: In this example, the CureMetrix algorithm was sensitive enough to detect the anomalies but specific enough to correctly suggest that these anomalies were benign.