IMAGE CLASSIFICATION FOR MEDICAL DIAGNOSIS USING MACHINE LEARNING: A SYSTEMATIC REVIEW

This systematic review explores the current state of research on image classification for medical diagnosis using machine learning. With the potential to improve accuracy and reduce errors in medical diagnosis, machine learning can help address the vital issue of misdiagnosis and delayed diagnoses in healthcare. The review highlights the benefits and challenges of using machine learning in medical image classification, particularly in cancer detection. Overall, this review provides insights into the potential of machine learning for improving the efficiency and accuracy of medical diagnosis, and identifies areas for future research.