Enchodroma Tumor Detection From MRI Images Using SVM Classifier-Reference-Cited by-同舟云学术

Enchodroma Tumor Detection From MRI Images Using SVM Classifier

Published:2021 Issue: Volume: Page:155-163
ISSN:2327-9354
Container-title:AI Innovation in Medical Imaging Diagnostics
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Author:

Durgadevi G.¹,Sujatha K.²,Thivya K.S.³,Elakkiya S.³,Anand M.³,Shobana S.¹

Affiliation:

1. New Prince Shri Bhavani College of Engineering and Technology, India

2. Dr. M. G. R. Educational and Research Institute, India

3. Dr. M.G.R. Educational and Research Institute, India

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).

Publisher

IGI Global

Reference5 articles.

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