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: 2021
Pages: 9
Source title: AI Innovation in Medical Imaging Diagnostics
Source Author(s)/Editor(s): Kalaivani Anbarasan (Department of Computer Science and Engineering, Saveetha School of Engineering, India & Saveetha Institute of Medical and Technical Sciences, Chennai, India)
DOI: 10.4018/978-1-7998-3092-4.ch009

Keywords: Artificial Intelligence / Computer Science & IT / Medical Information Science Reference / Medical Technologies

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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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