A comparison study: Classification brain tumor based on Support Vector Machine and K-Nearest Neighbors
Author (s)
Shler Farhad Khorshid & Nawzat Sadiq Ahmed
Abstract
Brain tumor is one of the commonest tumors. For the diagnosis of this disease, automated detection and classification are crucial. Magnetic resonance imaging (MRI) is a unique sort of imaging which is utilized for detecting these tumors and categorizing them as benign or malignant using special algorithms such as of K-Nearest Neighbors (K-NN) and Support Vector Machine (SVM). The classification of brain tumors through imaging can be divided into four phases: pre-processing, extraction, segmentation and classification. This paper reviews some recent studies that highlight the efficacy of K-NN and SVM accuracies in classifying brain MRI images as normal or abnormal, benign or malignant.
Keywords: brain tumor, Magnetic resonance imaging (MRI), classification, SVM, K-NN.
| Title: | A comparison study: Classification brain tumor based on Support Vector Machine and K-Nearest Neighbors |
|---|---|
| Author: | Shler Farhad Khorshid & Nawzat Sadiq Ahmed |
| Journal Name: | International Journal of Science and Business |
| Website: | ijsab.com |
| ISSN: | ISSN 2520-4750 (Online), ISSN 2521-3040 (Print) |
| DOI: | https://doi.org/10.5281/zenodo.4590054 |
| Media: | Online |
| Volume: | 5 |
| Issue: | 6 |
| Acceptance Date: | 05/03/2021 |
| Date of Publication: | 09/02/2021 |
| PDF URL: | https://ijsab.com/wp-content/uploads/742.pdf |
| Free download: | Available |
| Page: | 12-20 |
| First Page: | 12 |
| Last Page: | 20 |
| Paper Type: | Literature review |
| Current Status: | Published |
Cite This Article:
Shler Farhad Khorshid & Nawzat Sadiq Ahmed (2021). A comparison study: Classification brain tumor based on Support Vector Machine and K-Nearest Neighbors. International Journal of Science and Business, 5(6), 12-20. doi: https://doi.org/10.5281/zenodo.4590054
Retrieved from https://ijsab.com/wp-content/uploads/742.pdf
About Author (s)
Shler Farhad Khorshid (corresponding author), Information Technology Department, Akre Technical College of Informatics, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq. E-mail: Shler.sulayvani@gmail.com
Nawzat Sadiq Ahmed, Information Technology Management, Technical College of Administration, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq. Email: nawzat.ahmed@dpu.edu.krd
DOI: https://doi.org/10.5281/zenodo.4590054