Browsing Centre for Cancer Prevention by Subject "deep learning"
Now showing items 1-3 of 3
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Optimising brain age estimation through transfer learning: A suite of pre-trained foundation models for improved performance and generalisability in a clinical setting.
(2024-03)Estimated age from brain MRI data has emerged as a promising biomarker of neurological health. However, the absence of large, diverse, and clinically representative training datasets, along with the complexity of managing ... -
Prediction of reader estimates of mammographic density using convolutional neural networks.
(Society of Photo-optical Instrumentation Engineers, 2019-07)Mammographic density is an important risk factor for breast cancer. In recent research, percentage density assessed visually using visual analogue scales (VAS) showed stronger risk prediction than existing automated density ...