Skip navigation


Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3397
Title: Segmentation and Classification of Brain Tumor using Watershed, SVM and CNN Algorithms
Authors: Bhola, Gourangni
Kale, Anurag
Salunke, Vaishnavi
Srivastava, Sumira
Birla, K.P.
Keywords: BraTS
SVM
Classification
medical imaging
Segmen-tation
tumor detection
watershed
Issue Date: 5-May-2022
Abstract: The human brain is the primary controller of the humanoid system. A brain tumour is caused by abnormal cell growth and division in the brain, and so brain tumours can lead to brain cancer. Computer vision plays an important role in human health by reducing the accuracy of human judgement.CT scans, X-rays, and MRI scans are all common imaging modalities. Magnetic resonance imaging is the most reliable and secure method (MRI). MRI is used to detect every minute thing. The application of various methodologies is examined in ourresearch. During this experiment, we used the Gaussian filter(GF)to remove noise from brain MRI for the identification of brain cancer
URI: http://192.168.3.232:8080/jspui/handle/123456789/3397
Appears in Collections:Computer

Files in This Item:
File Description SizeFormat 
PID 14IJARCCE.2022.115101.pdf326.77 kBUnknownView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.