Introduction of Lung CAD

  • Lung cancer is the primary cause of cancer-related death in the world.
    • Most patients diagnosed with lung cancer are already at an advanced stage (40% are stage IV, 30% are stage III)
    • The current five-year survival rate is only 16%.
    • If defective nodules are detected at an early stage, the survival rate can be increased.
  • Computed tomography (CT) is one of the most sensitive methods for detecting pulmonary nodules.
    • Nodule: a rounded and irregular opaque figure (~30 mm)
  • The early detection of pulmonary nodules is important in the treatment of lung cancer
    • A tiring process
    • Each scan contains hundreds of images and must be evaluated by a radiologist
  • The use of a computer-aided detection (CAD) system can provide an effective solution
    • Increasing the scanning efficiency and potentially improving nodule detection

QuaLIA CAD System – https://github.com/taznux/qualia
Lung image analysis framework – https://github.com/taznux/lung-image-analysis

 

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