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SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Shape matching and object recognition using shape contexts
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Automatic Point Landmark Matching for Regularizing Nonlinear Intensity Registration: Application to Thoracic CT Images
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Automatic Medical Image Registration Based on an Integrated Method Combining Feature and Area Information
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Integrated shape corresponding information by landmark sliding for non-rigid registration between CT and ultrasound images
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Matching Local Invariant Features: How Can Contextual Information Help?
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Prostate Segmentation in MR Images Using Discriminant Boundary Features
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Automatic Multiorgan Segmentation via Multiscale Registration and Graph Cut
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Nonrigid Registration of Lung CT Images Based on Tissue Features
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