Enchodroma Tumor Detection From MRI Images Using SVM Classifier

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Author(s): G. Durgadevi (New Prince Shri Bhavani College of Engineering and Technology, India), K. Sujatha (Dr. M. G. R. Educational and Research Institute, India), K.S. Thivya (Dr. M.G.R. Educational and Research Institute, India), S. Elakkiya (Dr. M.G.R. Educational and Research Institute, India), M. Anand (Dr. M.G.R. Educational and Research Institute, India)and S. Shobana (New Prince Shri Bhavani College of Engineering and Technology, India)
Copyright: 2023
Pages: 7
Source title: Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-7544-7.ch054

Keywords: Knowledge Management and Library Science / Medical Diagnosis and Practice / Medical Imaging / Medical Information Science Reference

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Abstract

Magnetic resonance imaging is a standard modality used in medicine for bone diagnosis and treatment. It offers the advantage to be a non-invasive technique that enables the analysis of bone tissues. The early detection of tumor in the bone leads on saving the patients' life through proper care. The accurate detection of tumor in the MRI scans are very easy to perform. Furthermore, the tumor detection in an image is useful not only for medical experts, but also for other purposes like segmentation and 3D reconstruction. The manual delineation and visual inspection will be limited to avoid time consumption by medical doctors. The bone tumor tissue detection allows localizing a mass of abnormal cells in a slice of magnetic resonance (MR).

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Enchodroma Tumor Detection From MRI Images Using SVM Classifier

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