Deep Learning in Medical Image Analysis Transforming Healthcare Diagnostics

Abstract

Deep learning, a subset of machine learning, has revolutionized the field of medical image analysis. By leveraging large datasets and advanced neural network architectures, deep learning techniques have significantly improved the accuracy and efficiency of image-based diagnostics. This paper provides an overview of the key deep learning methods used in medical image analysis, highlights notable applications in various medical domains, and discusses the challenges and future directions of this rapidly evolving field.