A Comparative Analysis on Image Processing-Based Algorithms and Approaches in Healthcare

Abstract

Image processing has become an important tool in medical applications, with the ability to extract and analyze information from medical images. This chapter provides an overview of various image processing approaches used in medical applications, including deep learning algorithms, segmentation techniques, and a combination of both. The authors also discuss several studies on brain tumor detection, cancer detection, and X-ray analysis using image processing techniques. The studies demonstrate the potential of image processing techniques to significantly improve the accuracy and speed of disease detection, allowing for earlier diagnosis and treatment. Image processing techniques can also assist in treatment planning and lead to more informed diagnoses and treatment decisions. Continued research in this area will undoubtedly lead to even more advanced and sophisticated approaches to image processing, further enhancing the ability of healthcare professionals to diagnose and treat a wide range of medical conditions.