An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy
A novel lung segmentation algorithm is proposed, focusing on juxtapleural nodules. A bidirectional chain coding method is proposed to detect border inflection points. A support vector machine classifier is used to selectively smooth the lung border. The method is evaluated on 233 CT studies with 403 juxtapleural nodules.
lung segmentation chain code juxtapleural nodule support vector machine computer aided diagnosis