Review on Medical Image Segmentation and Feature Extraction Approaches

Abstract

In medicine, "imaging" refers to the technique or technology of seeing in or out of a living organism to discern the constituent parts of that body. During the operation, the medical diagnosis is examined, an analysis of the disease is performed, and image data sets that are considered normal and abnormal are created. Two different types of images are used in the medical profession. These are medical images that use visible light and those that use invisible light. A radiologist can only decipher the first category of medical images, but a person of average intelligence can understand the second category of medical images. Both segmentation and feature extraction are required to analyze all of them. The authors of this study limit the scope of their research to tumor detection by mammography or magnetic resonance imaging. While there is a wide range of medical imaging techniques, they focus on these two approaches. The authors of this article address several methods for the medical image preprocessing step, known as segmentation and feature extraction.

Keywords

• Medical Imaging
• Obsolete Segmentation
• Recent Segmentation
• Feature Extraction