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BRAIN TUMOR DETECTION USING MACHINE LEARNING THROUGH CNN

SANJANA H P

(05 – 2026)

DOI:

 

Brain tumors are dangerous and need to be found early for better treatment and survival. This project uses a computer method called machine learning to help detect brain tumors from MRI scans. It uses a special type of model called a Convolutional Neural Network (CNN), which is good at looking at images and finding patterns. The model is trained with many labeled MRI images so it can learn to tell the difference between scans with tumors and those without. This tool can help doctors by giving quick and accurate results, making diagnosis easier and more affordable. Tests show that it works well, proving that machine learning can be useful in medical imaging.

 

 

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