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Bhanu Bhushan Parashar,
Munesh Chandra,
Ashim Saha,
- Scholar, National Institute of Technology Agartala., Tripura, India
- Associate Professor, Dept. of CSE Phd National Institute of Technology Agartala, Tripura, India
- Associate Professor, Dept. of CSE Phd National Institute of Technology Agartala, Tripura, India
Abstract
Brain Tumor is most challenging and life threading decease now these days. Timely accurately detection of brain tumor is play important role for patient health improvement and it increase life survival rate. Traditional of brain tumor detection relay heavily on manual interpretation of medicalimage, it is very time consuming and chance to human error in detection of brain tumor. Now in recent advancement of Artificial intelligence (AI), Machine learning (ML) and specially Deep Learning (DL) techniques give enhancement in image analysis in medical field. Now these days different techniques of deep learning used in detection of brain tumor. Deep learning techniques come out with high accuracy of model for automatic feature extraction and classification of complexdata including CT scan and MRI image of brain. The purpose of this study is to explore the application of deep learning approaches in the detection of brain tumors from medical imaging data,such as magnetic resonance imaging (MRI) scans. Deep learning models are trained on large datasetsof labeled images to learn intricate patterns and features associated with different tumor types, sizes,and locations. This enables the models to accurately identify and classify tumors, assisting healthcareprofessionals in making informed decisions regarding diagnosis and treatment planning.
Keywords: Brain Tumor, Deep learning, MRI image, Deep learning models, Artificial intelligence, Machine learning
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International Journal of Brain Sciences
| Volume | 03 | |
| 02 | ||
| Received | 11/04/2026 | |
| Accepted | 29/04/2026 | |
| Published | 20/07/2026 | |
| Publication Time | 100 Days |