Recently, image processing techniques are widely used in several medical areas for image improvement in earlier detection and treatment stages of diseases. Medical informatics is the study that combines two medical data sources: biomedical record and imaging data. Medical image data is formed by pixels that correspond to a part of a physical object and produced by imaging modalities. discovery of medical image data methods is a challenge in the sense of getting their insight value, analyzing and diagnosing of a specific disease. Image classification plays an important role in computer-aided-diagnosis of diseases and is a big challenge on image analysis tasks. This challenge related to the usage of methods and techniques in exploiting image processing result, pattern recognition result and classification methods and subsequently validating the image classification result into medical expert knowledge. The main objective of medical images classification is to reach high accuracy to identify the name of disease. It showed the improvement of image classification techniques such as to increase accuracy and sensitivity value and to be feasible employed for computer-aided-diagnosis are a big challenge and an open research.

In recent times, image processing techniques are used in medical field for image improvement in earlier detection of diseases, Medical informatics is the study that combines two medical data sources: biomedical record and imaging data .Medical image data is formed by pixels that correspond to a part of a physical object and produced by imaging modalities study of medical image data methods is a challenge in the sense of getting their insight value, analyzing and diagnosing of a specific disease. Image classification plays an important role in computer-aided of diseases and is a big challenge on image analysis tasks. This test related to the usage of methods a techniques in exploiting image processing result, pattern recognition result and classification methods and subsequently validating the image classification result into medical expert information. The main aim of medical images classification is to reac accuracy to identify the name of diseases .The improvement of image classification techniques to increase accuracy and sensitivity value and to be feasible working for computer-aided-diagnosis are a big challenge.