Deep Learning Applications for Lung Cancer Diagnosis: A systematic review. (arXiv:2201.00227v1 [eess.IV])

Lung cancer has been one of the most prevalent disease in recent years.
According to the research of this field, more than 200,000 cases are identified
each year in the US. Uncontrolled multiplication and growth of the lung cells
result in malignant tumour formation. Recently, deep learning algorithms,
especially Convolutional Neural Networks (CNN), have become a superior way to
automatically diagnose disease. The purpose of this article is to review
different models that lead to different accuracy and sensitivity in …

applications arxiv cancer deep learning learning lung cancer review