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- Which algorithm is used for lung cancer detection?
- Which imaging method is best performed for lung cancer screening?
- What is the most accurate method for detection of small metastases to the lungs of a malignant tumor?
- How is CNN used 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.
Which imaging method is best performed for lung cancer screening?
The only recommended screening test for lung cancer is low-dose computed tomography (also called a low-dose CT scan, or LDCT). During an LDCT scan, you lie on a table and an X-ray machine uses a low dose (amount) of radiation to make detailed images of your lungs. The scan only takes a few minutes and is not painful.
What is the most accurate method for detection of small metastases to the lungs of a malignant tumor?
Computed tomography (CT) scan
A CT scan is more likely to show lung tumors than routine chest x-rays. It can also show the size, shape, and position of any lung tumors and can help find enlarged lymph nodes that might contain cancer that has spread.
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.
