CALL FOR PAPERS

Author Information

CERTIFICATE

IMPACT FACTOR 2019

Subject Area

Life Sciences / Biology
Architecture / Building Management
Asian Studies
Business & Management
Chemistry
Computer Science
Economics & Finance
Engineering / Acoustics
Environmental Science
Agricultural Sciences
Pharmaceutical Sciences
General Sciences
Materials Science
Mathematics
Medicine
Nanotechnology & Nanoscience
Nonlinear Science
Chaos & Dynamical Systems
Physics
Social Sciences & Humanities

Why Us? >>

Open Access
Peer Reviewed
Rapid Publication
Life time hosting
Free promotion service
Free indexing service
More citations
Search engine friendly

Plagiarism Detection

IJCR is following an instant policy on rejection those received papers with plagiarism rate of more than 20%. So, All of authors and contributors must check their papers before submission to making assurance of following our anti-plagiarism policies.

MRI brain tumor detection using artificial neural network

Author:

Kalpana U. Rathod and Prof. Y. D. Kapse

Subject Area:

Health Sciences

Abstract:

Brain tumors are the most aggressive and devastating types of cancer and are one the most common or major reason for death among individuals. The chances of survival can be increased if the cancer is detected at its early stage. This paper present an artificial neural network technique, namely feed forward back propagation neural network to classify the magnetic resonance image (MRI) into normal and timorous MRI. Image processing technique helps in detection of tumor in MRI. Feature extraction from the gray level MRI achieves using gray level co-occurence matrix (GLCM). Neural network works in two modes first is training/learning mode and second is testing/recognition mode. The whole system is developed on a MATLAB version 7.5.0 platform

PDF file: