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Found 4 papers, 0 papers with code
3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI
Masked Image Modelling (MIM) has been shown to be an efficient self-supervised learning (SSL) pre-training paradigm when paired with transformer architectures and in the presence of a large amount of unlabelled natural images.
Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI
Nevertheless, they rely on large amounts of annotated data which is not common in the medical field.
Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data
Whole gland (WG) segmentation of the prostate plays a crucial role in detection, staging and treatment planning of prostate cancer (PCa).
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study
By training multiple versions of a convolutional neural network on different subsets of this data to predict MTA ratings, we assessed the impact of including images from a wider distribution during training had on performance in external memory clinic data.
