SDC1 and neoplasm: In principle, this addresses issues such as non-random distributions and variable sizes of tumor plasma cells that plague visual estimates, and avoids the “gold-standard paradox.” Specifically, we trained a convolutional neural network (CNN) using raw pixel data and labels of CD138+ and CD138- cells provided by one pathologist, without reference to prior cell- and nuclear-segmentation.