farazahmeds/Classification-of-brain-tumor-using-Spatiotemporal-models
Classification of brain tumor in MR images using deep spatiospatial models.
This project helps radiologists and neurologists classify brain tumors more accurately from MRI scans. It takes brain MRI images as input and outputs a classification of the tumor as high-grade glioma, low-grade glioma, or healthy brain tissue. It's designed for medical professionals who analyze brain images for diagnostic purposes.
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Use this if you need an automated, deep learning-based tool to help distinguish between different types of brain tumors and healthy tissue in MRI scans.
Not ideal if you are looking for a general-purpose image classification tool unrelated to medical imaging or specific brain tumor types.
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26
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2
Language
Python
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Last pushed
Nov 21, 2021
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