Image Processing and Analysis

This chapter delves into the realm of medical image manipulation and comprehension. It begins by exploring pre-processing techniques, illuminating methodologies for noise reduction and image enhancement. Moving on, the chapter uncovers segmentation methods designed to extract pivotal regions of interest, followed by a comprehensive study on feature extraction and representation within medical images. Further, the discourse unfolds around “medical image classification,” elucidating techniques for classifying these images while tackling challenges such as imbalanced datasets and data augmentation. Lastly, it sheds light on image post-processing techniques crucial for obtaining high-quality medical images. This is followed by image interpretation and visualization, which play a pivotal role in enabling stakeholders to make well-informed medical decisions.