학술논문

Brain Tumor Detection Using Soft Computing
Document Type
Conference
Source
2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS) Power, Energy, Control and Transmission Systems (ICPECTS), 2022 International Conference on. :1-5 Dec, 2022
Subject
Components, Circuits, Devices and Systems
General Topics for Engineers
Nuclear Engineering
Power, Energy and Industry Applications
Robotics and Control Systems
Deep learning
Magnetic resonance imaging
Neural networks
Lung
Liver
Manuals
Control systems
Proposed work
AlexNet
LeNet
Django
Language
Abstract
Tumors located in the brain, with a life expectancy of only a few months in the most advanced stages. MRI commonly use detect tumors in various body parts like the brain, liver, lung, prostate, breast, and other organs. An MRI scan collects a large quantity of data, on the other hand, renders manual classification, non-tumors vs tumors in a particular time. However, it has a number of drawbacks. As a corollary, to lower the rate of human fatalities, a reliable and automated categorization approach is necessary. Automatic classification of brain tumors is a difficult undertaking due to the massive spatial and structural variability of the brain tumor's surroundingenvironment. Hence, an MRI image classification ofbrain tumors using deep neural network is proposed and it is deployed using a web framework.