Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models.
IEEE Transactions on Medical Imaging(2020)
摘要
Quantification of anatomical shape changes currently relies on scalar global indexes which are largely insensitive to regional or asymmetric modifications. Accurate assessment of pathology-driven anatomical remodeling is a crucial step for the diagnosis and treatment of many conditions. Deep learning approaches have recently achieved wide success in the analysis of medical images, but they lack in...
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关键词
Shape,Pathology,Three-dimensional displays,Task analysis,Deep learning,Medical diagnostic imaging
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