Breast density prediction from low and standard dose mammograms using deep learning: effect of image resolution and model training approach on prediction quality

2023-08-05 radiology and imaging Title + abstract only

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PurposeTo improve breast cancer risk prediction for young women, we have developed deep learning methods to estimate mammographic density from mammograms taken at approximately 1/10th of the usual dose. We investigate the quality and reliability of the density scores produced on low dose mammograms focussing on how image resolution and levels of training affect the low dose predictions. MethodsDeep learning models are developed and tested, with two feature extraction methods and an end-to-end t...

Breast density prediction from low and standard dose mammograms using deep learning: effect of image resolution and model training approach on prediction quality

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