Medical Imaging and Radiology in Explainable Deep Learning

Abstract

This chapter delves into the intricacies of medical imaging and ultrasound, where interpretable deep learning methodologies emerge as invaluable tools. It elucidates the utilization of deep learning models to extract radiomic features, discern their clinical significance, and various methodologies for incorporating them into structures that are comprehensible. The study underscores the criticality of comprehending radiomic features and their pivotal role in facilitating accurate diagnoses and informed treatment decisions. The primary objective of this chapter is to attain an intricate understanding of deep learning methodologies tailored explicitly for healthcare AI, with a focal point on radiologists and medical images.

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