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