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This work combines model-based local shape analysis and data-driven local contextual feature learning for improved detection of pulmonary nodules in low dose computed tomography (LDCT) chest scans. We reduce orientation-induced appearance variability by performing intensity-weighted principal component analysis (PCA) to estimate the local orientation at each candidate location. Random comparison primitives...
Organ labeling involves estimating approximate organ locations from medical images and has several traditional and emerging applications. The organ labels can serve as initialization for automatic and fast image processing, provide additional information for image data mining and retrieval, and assist fast image navigation and workflow on radiology workstations. The problem is made difficult by variability...
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