Fast anatomy segmentation by combining coarse scale multi-atlas label fusion with fine scale corrective learning.

Hongzhi Wang,Deepika Kakrania,Hui Tang,Prasanth Prasanna,Tanveer Fathima Syeda-Mahmood

Computerized Medical Imaging and Graphics（2018）

引用 12|浏览41

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摘要

•Fast multi-atlas segmentation that achieves state of the art performance within 10 min.•A novel application of corrective learning in accelerating image segmentation.•Coarse-scale deformable registration is suitable for fast anatomy segmentation.

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关键词

Multi-atlas segmentation,Corrective learning,Image registration,Label fusion

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