Lakhasly

Current technological support is undoubtedly beneficial for various fields of life, not least in the medical area that develops magnetic image resonance technology, namely MRI.Image processing or image processing is a technique or method of processing digital images with specific objectives that can be in the form of image improvements, image quality improvements, and objects in the picture that can be processed as needed.This situation resulted in the reading of MRI images being a difficult task even though performed by medical experts because relying on human visual vision alone was deemed insufficient to detect quickly and accurately from these MRI images.In this case, MRI image processing to detect brain tumors can be further processed with various techniques or methods of image processing to obtain essential data or information related to the detection of brain tumors and then their classification [3].MRI produces high relational images of different internal organs of the human body in the form of the brain, tissues, and so on. Various internal organs of the human body are detected to detect the presence of disease.They can be formed from groups of abnormal cells that are in the brain, where the brain tumor itself can be divided into two, namely benign and malignant brain tumors.

Current technological support is undoubtedly beneficial for various fields of life, not least in the medical area that develops magnetic image resonance technology, namely MRI. MRI produces high relational images of different internal organs of the human body in the form of the brain, tissues, and so on. Various internal organs of the human body are detected to detect the presence of disease. One of the conditions that can be identified by MRI images is a brain tumor. In the medical world, the detection of brain tumors by reading MRI images is still done manually by doctors and radiologists. This situation resulted in the reading of MRI images being a difficult task even though performed by medical experts because relying on human visual vision alone was deemed insufficient to detect quickly and accurately from these MRI images. And usually in reading MRI images by doctors and radiologists requires at least 1 to 2 weeks before the results are given to patients. Besides the challenge that exists is the complexity of the structure of the human brain so that to detect brain tumors manually is very vulnerable or delicate because there could be a brain tumor that blends with the patient's healthy brain tissue [1] [2] [6].
However, with the development of digital image processing or image processing, it is possible to be able to help doctors and radiologists to read MRI images faster in the detection of brain tumors [2]. Image processing or image processing is a technique or method of processing digital images with specific objectives that can be in the form of image improvements, image quality improvements, and objects in the picture that can be processed as needed. In this case, MRI image processing to detect brain tumors can be further processed with various techniques or methods of image processing to obtain essential data or information related to the detection of brain tumors and then their classification [3]. Understanding brain tumors themselves are an uncontrolled division of brain cells. They can be formed from groups of abnormal cells that are in the brain, where the brain tumor itself can be divided into two, namely benign and malignant brain tumors. The various types of brain tumors that can be detected using MRI are metastasis of bronchogenic carcinoma tumors, glioblastomas, and sarcomas. Perfect MRI images and automatic classification are essential for medical analysis and interpretation of brain disorders. The most common brain disorders that occur include brain tumors, for that through reading MRI images, can diagnose brain tumors more quickly and can provide appropriate and quick medical treatment to patients in need [4] [5].