Abstract
Medical image reporting and interpretation play a significant role in the diagnosis and treatment of patients. Its introduction into healthcare systems has improved human health and promoted medical activity generally. Medical images are affected by noise, echo perturbations, fatigue, inter-observer variability, time- consuming demands, and yet, the results are subjective. Therefore, the need for the development of computer techniques to overcome the shortcomings of manual classification processes, which will serve as a second opinion for diagnosis, management, and treatment. This chapter aims at reviewing various stages of the development of Computer-Aided Diagnosis systems, computer techniques for medical image classification, identifying their strengths and shortcomings. However, we considered the post-processing of medical image stages as the area that requires more attention from researchers.
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