Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features

@article{Jacobs2011ComputerAidedDO,
  title={Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features},
  author={Colin Jacobs and Clara I. S{\'a}nchez and Stefan C. Saur and Thorsten Twellmann and Pim A. de Jong and Bram van Ginneken},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2011},
  volume={14 Pt 3},
  pages={207-14}
}
Ground glass nodules (GGNs) occur less frequent in computed tomography (CT) scans than solid nodules but have a much higher chance of being malignant. Accurate detection of these nodules is therefore highly important. A complete system for computer-aided detection of GGNs is presented consisting of initial segmentation steps, candidate detection, feature extraction and a two-stage classification process. A rich set of intensity, shape and context features is constructed to describe the… CONTINUE READING

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