A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics
ConclusionsA DLM auto-fixed VOI segmentation can provide a potentially more accurate radiomics diagnosis of CS PCa than expert manual segmentation while also reducing expert time investment by more than 97%.Key Points•Compared to traditional expert-based segmentation, a deep learning mask (DLM) auto-fixed VOI placement is more accurate at detecting CS PCa.•Compared to traditional expert-based segmentation, a DLM auto-fixed VOI placement is faster and can result in a 97% time reduction.•Applying deep learning to an auto-fixed VOI radiomics approach can be valuable.
Source: European Radiology - Category: Radiology Source Type: research
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