The dataset for the 2016 Data Science Bowl presents several challenges for automated exploitation. As the images were collected in a real world setting, with several types of sensors, there is a great deal of variation from patient to patient with respect to image orientation, pixel spacing, and intensity scaling. All of these factors should be dealt as part of any competitive solution; while they may not be required for a good solution, a winning design requires every last bit of information to be squeezed out of the data. Read More