Segmentation Based Brain Tumor Detection & Classification - Softcover

Suthar, Anilkumar

Softcover

ISBN 10: 3659514810 ISBN 13: 9783659514814

Verlag: LAP LAMBERT Academic Publishing, 2018

Inhaltsangabe

Biomedical Image Processing consists many different types of imaging methods likes CT scans, X-Ray and MRI. These techniques allow humans to identify even the smallest abnormalities in the human body. The primary goal of medical imaging is to extract meaningful and accurate information from the images with the least error possible. MRI (Magnetic Resonance Imaging) is a medical technique, mainly used by the radiologist for visualization of internal structure of the human body. MRI provides useful information about the human soft tissue, which helps in the diagnosis of brain tumor. Image segmentation refers to partitioning of image into multiple regions or segments such that it can meaningfully represent the image through which information can be extracted. In this paper we are using Canny and SIFT techniques for segmentation of brain image considering shape and texture features. After that Support Vector Machine (SVM) is used to classify tumor and non-tumor regions. The performance of the proposed method is evaluated in terms of Sensitivity (Se), specificity (Sp), precision (Pr) and accuracy (Acc) and PSNR.

Über diesen Titel

Über die Autorin bzw. den Autor

Dr. Anilkumar Suthar is a Supervisor and Director of L J Institute of Engineering & Technology.Ms.K.Kansara is Post Graduate student in Department of Electronics & Communication Engineering.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2018
• Sprache: Englisch
• ISBN 10: 3659514810
• ISBN 13: 9783659514814
• Einband: Taschenbuch
• Anzahl der Seiten: 56
• Herausgeber: Patel Krunal
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Editions Muse; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland