Uncertain-DeepSSM: From Images to Probabilistic Shape Models

13 Jul 2020Jadie AdamsRiddhish BhalodiaShireen Elhabian

Statistical shape modeling (SSM) has recently taken advantage of advances in deep learning to alleviate the need for a time-consuming and expert-driven workflow of anatomy segmentation, shape registration, and the optimization of population-level shape representations. DeepSSM is an end-to-end deep learning approach that extracts statistical shape representation directly from unsegmented images with little manual overhead... (read more)

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