APPLICATIONS OF DEEP LEARNING IN MEDICAL IMAGING AND DIAGNOSIS

Abstract

Deep learning techniques have revolutionized medical imaging and diagnosis by providing powerful tools for analyzing complex medical data. This paper presents a comprehensive review of the applications of deep learning in medical imaging and diagnosis. We begin with an introduction to deep learning and its relevance in healthcare. A literature survey is conducted to explore existing systems and methodologies. Subsequently, we propose a novel system leveraging deep learning techniques for medical image analysis and diagnosis. Finally, empirical results from our proposed system are presented to demonstrate its effectiveness in various medical imaging tasks.