LSBU and UBT have published a new paper entitled “3D CNN for breast density classification in microwave imaging”.

LSBU and UBT have published a new paper entitled “3D CNN for breast density classification in microwave imaging

The study looks at how microwave imaging could help classify breast density in a safer and more comfortable way, especially for younger women with dense breast tissue, where traditional mammography is often less effective. Using artificial intelligence and more than 6,700 breast scans collected with the MammoWave® device across several European hospitals, the team achieved an overall accuracy of 80%. These encouraging results show the potential of microwave imaging to support more personalized and accessible breast cancer screening in the future.

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