Developing Robust Machine Learning Algorithms for Medical Image Interpretation

Abstract

 This paper provides a comprehensive review of recent advancements in machine learning (ML) techniques applied to medical imaging. It explores various methodologies, discusses their applications in clinical practice, and highlights future research directions. Key topics include image classification, segmentation, and prediction models, as well as the integration of ML with emerging imaging technologies.