most citedAir, bone and soft-tissue Segmentation on 3D brain MRI Using Semantic Classification Random Forest with Auto-Context Model

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

physics.med-ph2019★ 3 cited

Air, bone and soft-tissue Segmentation on 3D brain MRI Using Semantic Classification Random Forest with Auto-Context Model

Xue Dong, Yang Lei, Sibo Tian +7

As bone and air produce weak signals with conventional MR sequences, segmentation of these tissues particularly difficult in MRI. We propose to integrate patch-based anatomical sig…