Differentiate Between Models Exercise

Machine learning algorithms aren't always complex, and they can have use cases at many different stages of medical imaging analysis, starting at pre-processing. In this exercise, you'll implement a simple algorithm called Otsu's algorithm that just implements image intensity thresholding to segment breast tissue from the background of an image.

Next, you'll use these masks to extract the image intensity distributions for two types of breasts: fatty and dense. These are standard classifications of breast tissue that radiologists make for all mammography studies. Using image intensity to classify breast tissue type is yet another implementation of Otsu's algorithm.