aksh-ai/neuralBlack
A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
This system helps radiologists and medical professionals quickly and accurately classify brain tumors from MRI images. You input a T1-weighted contrast-enhanced brain MRI scan, and it outputs a classification indicating whether the tumor is meningioma, glioma, or pituitary. This is designed for medical diagnosticians who need reliable, fast preliminary tumor classification.
142 stars. No commits in the last 6 months.
Use this if you are a medical professional needing to rapidly classify brain tumors from MRI images with high accuracy.
Not ideal if you need to segment tumors or localize them precisely within the MRI, as this tool focuses solely on classification.
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Last pushed
Apr 15, 2024
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