ARCHIVES
Smart Brain Tumor Prediction System
Published Online: May-June 2023
Pages: 537-539
Cite this article
↗ https://www.doi.org/10.59256/ijire.20230403119Abstract
Abstract: Brain is the regulatory unit in human body. It controls the functions such as memory, vision, hearing, knowledge, personality, problem solving, etc. The main reason for brain tumor is the abandoned progress of brain cells. Many health organizations have recognized brain tumor as the second foremost dispute that causes many human deaths all around the world. Identification of brain tumor at a premature stage offers opportunity of effective medical treatment. Use of Magnetic Resonance Imaging images have been recognized as more detailed and more consistent images when compared to Computed Tomography images. In this project we are predicting the brain tumor using machine learning algorithms. there are various techniques to detect brain tumor or neoplasms. The most competent and effective algorithm that we will be using in this project is CNN (Convolutional Neural Network).It is a Deep Learning Algorithm that is Used for Image Processing Starting with Pre-processing brain images then, segmenting them, feature extraction of unwanted noisy and blurry part, clustering and detection of the tumor are the methodologies of our Project.
Related Articles
2023
A Mobile Application to Promote the Idea of Recycling
2023
Web Based Printing Press Management System (WBPPMS)
2023
Review: CFD Analysis Of triangular, square and Circular Shaped Helical Coil Heat Exchanger by Using Titanium Oxide Nano fluid
2023
Review: Steady and Transient Thermal Analysis of 100 Cc Engine at 3000c, 5000c & 7000c
2023
Overview of Advancement of Inventory Models for Deteriorating Items with Time Based Uniform Price
2023