Segmentation and Classification Algorithms for Brain Tumor Detection: A Novel Approach - Softcover

Kumar P.S., Shijin

Softcover

ISBN 10: 620043378X ISBN 13: 9786200433787

Verlag: LAP LAMBERT Academic Publishing, 2019

Inhaltsangabe

Brain Tumor is a complex disease that occurs due to the abnormal growth of brain cells. For efficient treatment planning, earlier detection of tumor is necessary. Magnetic Resonance Imaging (MRI) is now recognized as an important tool for the detection of Brain tumor. Computer Aided Diagnosis (CAD) could be almost as effective as double reading by providing a second opinion to the radiologist and help in increasing the sensitivity and accuracy of detection. A novel algorithm for brain MRI segmentation using K-Means Clustering and Texture Pattern Matrix is proposed in this work. K-Means clustering with Texture Pattern Matrix (TPM) based segmentation process is implemented to detect Brain Tumor. In this book, Region growing, Watershed and Active Contour Model (ACM) are implemented to authenticate the performance of the proposed method. Fuzzy C-means (FCM) algorithm is also implemented and it is combined with TPM to evaluate the performance of the segmentation algorithm. The parameters used to evaluate the performance of segmentation are Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Accuracy, Correlation, Dice Coefficient, and Jaccard Index.

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Über die Autorin bzw. den Autor

Dr. Shijin Kumar P.S, obtained his PhD degree from Noorul Islam University and Master of Engineering in Communication Systems from Anna University, TamilNadu. Currently, he is working as Associate Professor in the department of Electronics and Communication Engineering at Marri Laxman Reddy Institute of Technology and Management, Telangana.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2019
• Sprache: Englisch
• ISBN 10: 620043378X
• ISBN 13: 9786200433787
• Einband: Taschenbuch
• Anzahl der Seiten: 176
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Editions Muse; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland