Brain Tumor Detection Using Local Independent Projection Based Classification(LIPC)
Shweta Patil
, Pravin Oram , Apeksha Thorve , Randeep Kaur Kahlon
MRI images, Feature Extraction, LIPC
In past decade, Tumor is one of the dangerous diseases in the world causing death of many people. MRI is one of the imaging technique which is widely used for tumor detection and classification. Also there are various methods for detection of brain tumor other than LIPC . Convolution neural network(CNN) is used in convolving a signal or an image with kernels to obtain feature maps. The image processing techniques such as equalized image, feature extraction and histogram equalization have been developed for extraction of the tumor in the MRI images of the cancer affected patients. Support Vector Machine(SVM) algorithm that works on structural risk minimization to classify the images. The SVM algorithm is applied to MRI images for the tumor extraction and a Simulink model is developed for the tumor classification function. Typical structure for this proposed system has four steps. In The initial stage is pre-processing using Gaussian filter. Thresholding has been employed in the second steps for segmentation. The third step is to check the feature extraction of MRI images. The fourth steps is classification that classified the tumor of MRI images using local independent projection based classification.(LIPC).
"Brain Tumor Detection Using Local Independent Projection Based Classification(LIPC)", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 3, page no.50 - 52, March-2019, Available :https://ijsdr.org/papers/IJSDR1903011.pdf
Volume 4
Issue 3,
March-2019
Pages : 50 - 52
Paper Reg. ID: IJSDR_190170
Published Paper Id: IJSDR1903011
Downloads: 000347243
Research Area: Engineering
Country: New Panvel, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
