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Brain Tumor Detection Using Deep Learning
Year
2025
Tech & Technique
Python, TensorFlow, Keras, OpenCV
Description
Achieved 91% classification accuracy on MRI brain scan validation datasets by building and training a CNN model using TensorFlow and Keras. Reduced false positives by 20% through image preprocessing and data augmentation techniques such as rotation and flipping.
My Role
Independently handled model design and training. Focused on CNN architecture optimization and image preprocessing for improving detection accuracy.