Binary and Multi-class Classification of Brain Tumors using MRI Images
Journal Title: International Journal of Experimental Research and Review - Year 2022, Vol 29, Issue 3
Abstract
A dangerous and potentially fatal condition is a brain tumor. Early detection of this disease is critical for determining the best course of treatment. Tumor detection and classification by human inspection is a time consuming, error-prone task involving huge amounts of data. Computer-assisted machine learning and image analysis techniques have achieved significant results in image processing. In this study, we use supervised and deep learning classifiers to detect and classify tumors using the MRI images from the BRATS 2020 dataset. At the outset, the proposed system classifies images as healthy or normal brains and brain having tumorous growth. We employ four supervised machine learning classifiers SVM, Decision tree, Naïve Bayes and Linear Regression, for the binary classification. Highest accuracy (96%) was achieved with SVM and DT, with SVM giving a better Recall rate of 98%. Thereafter, categorization of the tumor as Pituitary adenoma, Meningioma, or Glioma, is performed using supervised (SVM, DT) classifiers and a 6-layer Convolution Neural Network. CNN performs better than the other classifiers, with a 93% accuracy and 92% recall rate. The suggested system is employable as a powerful decisionsupport tool to assist radiologists and oncologists in clinical diagnosis without requiring invasive procedures like a biopsy.
Authors and Affiliations
Suruchi Gautam, Sweety Ahlawat, Prabhat Mittal
Keywords
Related Articles
- EP ID EP711499
- DOI https://doi.org/10.52756/ijerr.2022.v29.001
- Views 145
- Downloads 0
First record of tail bifurcation in Tokey Gecko (Gekko gecko) from the Kaziranga, Assam, India : a field observation
The Tokay Gecko (Gekko gecko) is the second largest surviving Gecko species and are distributed across much of South-East Asia, Southern China and Northeastern India and Nepal. In Kaziranga landscape Tokay Gecko are fair...
Control Strategies for Enhancing Power Quality with Unified Power Quality Conditioner in a Solar-PV Integrated Utility System
The electrical utility systems are well-liked as local energy systems because of their capacity to incorporate renewable energy, enhance energy effectiveness and strengthen the resilience of the power system. These benef...
Recent development of Silver-catalyzed Oxo- and Aza cyclization
This article addresses new developments in silver-catalyzed cyclization processes, resulting in the formation of carbocyclic or heterocyclic rings. Some essential techniques in organic chemistry include silver-catalyzed...
Geo-spatial analysis of Watershed Characteristics Using Remote Sensing and GIS Techniques: A case study of Kassai watershed, West Bengal, India
Watershed is a natural hydrological entity which allows surface run-off to a defined channel, drainage, stream or river at a particular point. It is the basic unit of water supply, which evolves over time. Morphometric a...
Efficacy of Dry Needling in Enhancing Hand Function and Reducing Spasticity in MCA Stroke Patients: A Prospective Case Report
Stroke, particularly involving the middle cerebral artery (MCA), often leads to persistent disability, significantly impairing hand function and inducing severe spasticity in the forearm flexors due to complex motor path...