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How to build your first multivariate regression model

Variable selection techniques Confound or interaction Model evaluation
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Detecting and classifying nodules in Lung CT scans

1        Definition 1.1 Project Overview Lung cancer is the second most common cancer in both men and women that afflicts 225,500 people a year in the United States. Nearly 1 out of 4 cancer deaths are from lung cancer, more than colon, breast, and prostate cancers combined [1]. Early detection of the cancer can allow for early treatment which significantly increases the chances of survival [2]. Lung cancer screening is performed with a CT scan that collects hundreds of images to build a full 3D composite of the lung. Next, small growths called pulmonary nodules need to be detected. These nodules show up as small, circular structures on the CT scans. Figure 1 Lung nodule at left arrow, cigarettes and lighter at right arrow In some cases, the nodules are not obvious and may take a trained eye and considerable amount of time to detect. Building a machine learning algorithm that can automatically detect the nodules can save ...