@article{PATENT,
      recid = {8474},
      title = {Automated method and system for the detection of lung  nodules in low-dose CT images for lung-cancer screening},
      number = {PATENT},
      month = {Dec},
      year = {2007},
      abstract = {A method, system, and computer program product for  detecting at least one nodule in a medical image of a  subject, including identifying, in the medical image, an  anatomical region corresponding to at least a portion of an  organ of interest; filtering the medical image to obtain a  difference image; detecting, in the difference image, a  first plurality of nodule candidates within the anatomical  region; calculating respective nodule feature values of the  first plurality of nodule candidates based on pixel values  of at least one of the medical image and the difference  image; removing false positive nodule candidates from the  first plurality of nodule candidates based on the  respective nodule feature values to obtain a second  plurality of nodule candidates; and determining the at  least one nodule by classifying each of the second  plurality of nodule candidates as a nodule or a non-nodule  based on at least one of the pixel values and the  respective nodule feature values. True-positive nodules are  identified using linear discriminant analysis and/or a  Multi-MTANN.},
      url = {http://knowledge.uchicago.edu/record/8474},
}