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  • 标题:Review: On Segmentation of Nodules from Posterior and Anterior Chest Radiographs
  • 作者:S. K. Chaya Devi ; T. Satya Savithri
  • 期刊名称:International Journal of Biomedical Imaging
  • 印刷版ISSN:1687-4188
  • 电子版ISSN:1687-4196
  • 出版年度:2018
  • 卷号:2018
  • DOI:10.1155/2018/9752638
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Lung cancer is one of the major types of cancer in the world. Survival rate can be increased if the disease can be identified early. Posterior and anterior chest radiography and computerized tomography scans are the most used diagnosis techniques for detecting tumor from lungs. Posterior and anterior chest radiography requires less radiation dose and is available in most of the diagnostic centers and it costs less compared to the remaining diagnosis techniques. So PA chest radiography became the most commonly used technique for lung cancer detection. Because of superimposed anatomical structures present in the image, sometimes radiologists cannot find abnormalities from the image. To help radiologists in diagnosing tumor from PA chest radiographic images range of CAD scheme has been developed for the past three decades. These computerized tools may be used by radiologists as a second opinion in detecting tumor. Literature survey on detecting tumors from chest graphs is presented in this paper.
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