Brain Tumor Detection from Human Brain Magnetic Resonance Images using Image Mining Technique

摘要

Data mining deals with the extraction or mining knowledge from huge volumes of various kinds of data. A detailed study, analysis and extraction of relevant data are done using efficient data mining algorithms and tools. Image mining deals with the study and development of new technologies that allow easy analysis, representation and interpretation of the image data. Data mining and visualization make use of machine learning, statistical visualization, image processing, data manipulation and knowledge extraction techniques etc to mine useful information and visualize the required output. Medical images are available in different dimensions and in huge volumes. The availability of medical images through different formats is a huge resource for the health care related research. Research associated with storage, process and manipulation of medical image data by computers with minimal human intervention is the need of the time. One of the main goals of applying image-mining algorithms to medical images is that it can discover new relations among data and reveal new patterns with which experts can identify diseases, diagnose symptoms, or can prescribe treatments. The use of image mining technique will be a supplementary knowledge for a particular medical images analysis field and it help to represent medical images and the contained data in a focused and precise manner. This research approach is helpful in information retrieval from MRI images, using data mining techniques. Accuracy of tumour detection is increased.