@article{PATENT,
      recid = {6691},
      title = {Automated method and system for computerized image  analysis prognosis},
      number = {PATENT},
      month = {May},
      year = {2004},
      abstract = {An automated method for determining prognosis based on an  analysis of abnormality (lesion) features and parenchymal  features obtained from medical image data of a patient. The  techniques include segmentation of lesions from  radiographic images, extraction of lesion features, and a  merging of the features (with and without clinical  information) to yield as estimate of the prognosis for the  specific case. An example is given for the prognosis of  breast cancer lesions using mammographic data. A  computerized image analysis system for assessing prognosis  combines the computerized analysis of medical images of  cancerous lesions with the training-based methods of  assessing prognosis of a patient, using indicators such as  lymph node involvement, presence of metastatic disease,  local recurrence, and/or death. It is expected that use of  such a system to assess the severity of the disease will  aid in improved decision-making regarding treatment  options.},
      url = {http://knowledge.uchicago.edu/record/6691},
}