Credit: Ashley Kiemen
This video https://www.youtube.com/watch?v=qqZzmEXwO18&feature=youtu.be shows a human pancreas specimen, which was cut into thousands of sections, stained using histological dyes and digitized. Here, a machine learning tool called CODA is used to align the serial pancreas images and automatically detect over 100 precancerous lesions called PanINs (represented in different colors) in a single sample, emphasizing the shocking numbers of precancers that can exist in the pancreas.