ISSN: 2684-1258
Department of Computer Science and Engineering, Dr. B.R Ambedkar National Institute of Technology Jalan-har, Punjab, India
Research
Identification of Brain Tumor Detection from MRI Image Using Convolution
Neural Network
Author(s): Sunil Kumar*, Renu Dhir and Nisha Chaurasia
The death of the brain tumor patient is increasing day by day due to the proper screening of the tumor in the
primary stage. Because it affects the human body’s vital nerve system, a brain tumor or cancer is one of the most
deadly types of cancer. The brain is incredibly vulnerable to infections that can impair its functions. Brain cells are
sensitive and challenging to regenerate when infected with dangerous diseases. The tumor is classified as benign
or malignant tumors. This thesis proposes superior brain tumor detection using CNN approaches based on deep
learning techniques to detect and classify benign and malignant tumors. This paper discusses using a Convolution
Neural Network (CNN) system to classify different types of brain tumors. We have used performance parameters
such as accuracy, precision, and sensitivity for evaluating performance models. The.. View More»
DOI:
10.35248/2684-1258.22.8.165