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Lung Nodule Malignancy Prediction From Computed Tomography Images Using Deep Learning, Rahul Paul
Lung Nodule Malignancy Prediction From Computed Tomography Images Using Deep Learning, Rahul Paul
USF Tampa Graduate Theses and Dissertations
Lung cancer has a high incidence and mortality rate. The five-year relative survival rate for all lung cancers is 18%. Due to the high mortality and incidence rate of lung cancer worldwide, early detection is essential. Low dose Computed Tomography (CT) is a commonly used technique for screening, diagnosis, and prognosis of non-small cell lung cancer (NSCLC). The National Lung Screening Trial (NLST) compared low-dose helical computed tomography (LDCT) and standard chest radiography (CXR) for three annual screens and reported a 20% relative reduction in lung cancer mortality for LDCT compared to CXR. As such, LDCT screening for lung cancer …