Paper Title
Developing Brain Tumour Detection Model in Python-A Brief Overview
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)
Author - Sumit Chhabra, Khushboo Bansal
Published : Volume-10,Issue-8 ( Aug, 2023 )
DOIONLINE Number - IJAECS-IRAJ-DOIONLINE-20115
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Published on 2023-11-30 |
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