Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.
IEEE Transactions on Medical Imaging(2016)
摘要
Robust and fast solutions for anatomical object detection and segmentation support the entire clinical workflow from diagnosis, patient stratification, therapy planning, intervention and follow-up. Current state-of-the-art techniques for parsing volumetric medical image data are typically based on machine learning methods that exploit large annotated image databases. Two main challenges need to be...
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关键词
Three-dimensional displays,Machine learning,Shape,Image segmentation,Context,Robustness,Feature extraction
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