DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-10,Issue-8 ( Aug, 2023 ) | |||||||||
Paper Title |
Developing Brain Tumour Detection Model in Python-A Brief Overview | |||||||||
Author Name |
Sumit Chhabra, Khushboo Bansal | |||||||||
Affilition |
1Research Scholar Desh Bhagat University 2Assistant Professor Desh Bhagat University | |||||||||
Pages |
10-13 | |||||||||
Abstract |
Now a days Machine & Deep Learning have demonstrated promising results in a number of healthcare-related areas, most notably disease prognosis utilising clinical imaging modalities. Deep learning can be used, for example, to identify brain cancers from MRI images. A brain tumour is a disease that is extremely serious. To ascertain if a person has this disease or not, MRI is used. Given its intricacy, detecting brain tumours via MRI is a challenging task. The steps that can be utilised to create a classifier to identify the brain tumour from the data are defined in this paper. The programming language used to construct classifier is python. Keywords - CNN (Convolutional Neural Networks),Tensor Flow, Keras, Numpy, MRI (Magnetic Resonance Imaging) | |||||||||
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