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Found 5 papers, 0 papers with code
Out-of-distribution multi-view auto-encoders for prostate cancer lesion detection
Our results show the potential of OOD approaches for PCa lesion detection based on MRI.
Prostate Age Gap (PAG): An MRI surrogate marker of aging for prostate cancer detection
Assessment: Chronological age was defined as the age of the participant at the time of the visit and used to train the deep learning model to predict the age of the patient.
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).
