"Supervised learning in radiology "
"simplified, a given input, (such as a lung nodule ROI) calculates the predicted outcome over the expected outcome once the cost is estimated the network will update the individual weighting of the output parameters (think of it as a vote)"
Expected headings
"Supervised learning in radiology "
"Supervised learning is broken into two subcategories, classification and regression 2. Classification refers to the prediction of whether an image falls into one or more categories while regression aims to predict a continuous label. Medical imaging machine learning deals mainly with the classification of images."