- How can you predict lung cancer?
- Which algorithm is used for lung cancer detection?
- Can AI be used to detect lung cancer?
- How is CNN used in lung cancer detection?
How can you predict lung cancer?
Low-dose chest computed tomography (LDCT) is recommended to screen people between 50 and 80 years of age with a significant history of smoking or who currently smoke, the researchers explained, noting that lung cancer screening with LDCT has been shown to reduce death from lung cancer by up to 24 percent.
Which algorithm is used for lung cancer detection?
Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method. Sci Rep. 2022 Jan 14;12(1):727.
Can AI be used to detect lung cancer?
Currently, the FDA have approved several AI programs in CXR and chest CT reading, which enables AI systems to take part in lung cancer detection. Following the success of AI application in the radiology field, AI was applied to digitalized whole slide imaging (WSI) annotation.
How is CNN used in lung cancer detection?
The CNN algorithm and Googlenet were chosen for detecting the cancer regions and classifying them into normal and abnormal. For the CNN algorithm implementation, a deep convolution network architecture called VGG-16 was used as base network. The proposed algorithm efficiently identifies the Lung Cancer.