Segmentation Based Brain Tumor Detection & Classification

Name: Segmentation Based Brain Tumor Detection & Classification
Brand: LAP Lambert Academic Publishing
SKU: 9783659514814
Price: 13397 HUF
Availability: InStock

Szerző: Anilkumar Suthar, Krunal Patel

Nyelv:

Kötés: Puha kötésű

Kiadó: LAP Lambert Academic Publishing

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

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Biomedical Image Processing consists many different types of imaging methods likes CT scans, X-Ray a...

Információk a könyvről

Szerző

Anilkumar Suthar, Krunal Patel

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2018

oldal

EAN

9783659514814

Enbook ID

20257730

Kiadó

LAP Lambert Academic Publishing

Súly

102

Méretek

150 x 220 x 3

Teljes leírás

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.

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Segmentation Based Brain Tumor Detection & Classification

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