Segmentation Based Brain Tumor Detection & Classification

Language: English

Published by LAP LAMBERT Academic Publishing Okt 2025, 2025

6200679916 / 9786200679918

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This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.…

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Bibliographic details

Title
Segmentation Based Brain Tumor Detection & Classification
Author
Anilkumar Suthar
Publisher
LAP LAMBERT Academic Publishing Okt 2025
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6200679916
ISBN 13
9786200679918
Item weight
102 grams
Dimensions
220x150x4 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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