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This chapter introduces deep learning and its application in precision medicine. It provides the readers the knowledge about the prerequisites for working with deep learning and the potential that this technique to better understand human diseases, the fundamental biology underlying it, and guide contribute its diagnosis and treatment. Deep learning has a wide variety of models and we have focused our chapter on the most popular one: convolutional neural network (CNN). In this chapter, we have reviewed key concepts and relevant recent work in medicine applying this methodology and, as an example; we have explained deep learning application for segmentation purpose in breast cancer hematoxylin and eosin (H&E)-stained pathological images. Thus, this provides the essential knowledge for researchers who are going to work with deep learning and are new in this field. |
