Aryavir07/From-Detection-To-The-Segmentation-Of-Brain-Tumors
Comparision of deep learning models such as ResNet50, FineTuned VGG16, CNN for Brain Tumor Detection
This project helps medical professionals, like radiologists or oncologists, analyze brain MRI scans more efficiently. It takes an MRI image as input and first classifies whether a brain tumor is present, then outlines the exact location and shape of any detected tumor. This allows for quicker and more precise identification of malignancies.
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Use this if you need a tool to quickly and accurately detect and segment brain tumors from MRI scans to aid in diagnostics.
Not ideal if you need to analyze medical images other than brain MRIs or require a solution for diseases beyond brain tumors.
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Jupyter Notebook
License
MIT
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Last pushed
Jul 26, 2024
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