Lung cancer classification and prediction using machine learning and image processing

1. How is lung cancer detected in image processing?
2. Which algorithm is used for lung cancer detection?
3. How can you predict lung cancer?
4. Which algorithm is used for cancer prediction?

How is lung cancer detected in image processing?

Computed tomography scans are used for identification of lung cancer as it provides detailed picture of tumor in the body and tracks its growth. Although CT is preferred over other imaging modalities, visual interpretation of these CT scan images may be an error prone task and can cause delay in lung cancer detection.

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.

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 cancer prediction?

We also discovered which SVM and ANN classifiers are commonly utilized for cancer forecasting results as one of the most frequently used ML algorithms [35]. As discussed in our introductory section, ANNs are widely used for nearly 30 years [40].