Analyzing Complex Medical Image Information: Convolution Versus Wavelets in a Neural Net

Background Deep learning neural networks have shown great promise for the automated analysis of complex medical images. Here we focus on the problem of discriminating malignant from benign lung nodules seen by computed tomography (CT). This is a major public health issue because only about 1 in 20 suspicious lung nodules that are seen on CT, many requiring invasive procedures, are actually cancerous.