December 2025
Intermediate to advanced
544 pages
14h 4m
English
Content preview from Brain Informatics Technology
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20Detection of Brain Tumor Using Machine Learning Model
R. Uma1, P. Ramkumar2*, Sivaprakash. C.2, J. Anitha Ruth3 and Sa.Viswavardinii4
1Department of Computer Science and Engineering, Sri Sairam Engineering College, Chennai, Tamil Nadu, India
2Department of Artificial Intelligence and Machine Learning, Sri Sairam College of Engineering, Bangalore, Karnataka, India
3Department of Computer Science & Applications, SRM Institute of Science and Technology, Vadapaliani Campus, Chennai, Tamil Nadu, India
4Department of Information Technology, SSN College of Engineering, Chennai, India
Abstract
Cancers pose a threat to human life when they arise in any part of the body, but they are more harmful when they arise in the brain. To save a life, it is best to diagnose and treat it early on. This research offers a thorough method for predicting brain tumors through the use of deep learning and transfer learning strategies, which are implemented in Python utilizing the TensorFlow, Keras libraries, and Flask framework. The process includes creating the model, augmenting the data, training, testing, and validating it. The dataset is made up of brain MRI pictures that have been enhanced with additional data to enhance model performance. The pre-trained image dataset serves as the foundation for feature extraction, and a bespoke dense layer is used to predict the tumor. The model achieves an impressive accuracy of roughly 92.94% after being trained and assessed over 15 epochs. The algorithm ...
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