INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
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.
Keywords:
Brain Tumor Prediction, MRI Images, CNN, Image Processing and Deep Learning
Cite Article:
"Smart Brain Tumor Prediction System", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.2314 - 2316, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305365.pdf
Downloads:
000336257
Publication Details:
Published Paper ID: IJSDR2305365
Registration ID:206840
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 2314 - 2316
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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