Vidhi1290/Brain-Tumor-Detection
Brain Tumor Detection using CNN: Achieving 96% Accuracy with TensorFlow: Highlights the main focus of your project, which is brain tumor detection using a Convolutional Neural Network (CNN) implemented in TensorFlow. It also emphasizes the impressive achievement of reaching 96% accuracy, which showcases the effectiveness of your model.
This project helps medical professionals or researchers accurately identify brain tumors from medical images. You input brain scans, and the system outputs a classification of whether a tumor is present and what type it is, along with visualizations to understand the model's performance. It is designed for medical imaging specialists, radiologists, or clinicians who need reliable, AI-assisted diagnostic tools.
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Use this if you need a high-accuracy tool to automatically detect and classify brain tumors from medical images.
Not ideal if you need a tool for real-time surgical guidance or a definitive diagnostic system that replaces human expert judgment.
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Last pushed
Aug 29, 2023
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