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Breast Case Scenario

Machine learning model identifies and classifies benign and malignant breast tumours with a high degree of accuracy

19 March 2022

Breast Case Scenario

Breast cancer is the most common cancer in the UK, accounting for 15% of all new cancer cases. If breast cancer is spotted earlier, then the patient’s chances of survival dramatically increase. Mammograms are a well-known way that medics can detect and measure breast density and spot any cancers that may be starting to form. But this analysis is done manually so it can be misinterpreted, different doctors may have varying opinions, it's time consuming and the poor image quality makes small changes difficult to spot with the naked eye. In order to try and make critical diagnoses earlier, researchers applied a machine learning model to analyse mammography images to improve the detection and classification of benign (left) and malignant breast tumours (right), which the model did with incredible accuracy. It was a promising performance that helps the clinician with speedy diagnosis, treatment planning, and follow-up of disease progression.

Written by Sophie Arthur

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BPoD stands for Biomedical Picture of the Day. Managed by the MRC Laboratory of Medical Sciences until Jul 2023, it is now run independently by a dedicated team of scientists and writers. The website aims to engage everyone, young and old, in the wonders of biology, and its influence on medicine. The ever-growing archive of more than 4000 research images documents over a decade of progress. Explore the collection and see what you discover. Images are kindly provided for inclusion on this website through the generosity of scientists across the globe.

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