BrainScan is something I’ve been working on for a while. It’s an AI that helps classify brain tumors from MRI scans built with deep learning, trained on real medical data. The goal is to make early diagnosis faster and more reliable.
If you're curious about the details, I put everything on GitHub the code, model, dataset info, and how it all ties into Solana.
📂: https://t.co/ZrsHUiuz0V
🔗: FwABJuaQtNNKzvxLYEH2vRiQVJwH9c2YKNQAFHPypump
There’s still a lot to improve, and I’m open to any suggestions.
If you’re curious, want to collaborate, or just have thoughts—feel free to reach out.
Appreciate the support so far.
getting ready for a beta launch. model is solid but not perfect, so now it’s time to get real feedback. if you know someone in the medical field who wants to test it, hit me up
finally tested on some mri scans outside the dataset. model did alright but struggled with some blurry ones. might need to train it with lower-quality images too so it doesn’t freak out
back to work
confusion matrix results are in. glioma and pituitary detection are solid but no-tumor cases still a bit off. probably need to rebalance the dataset or adjust loss function
https://t.co/N6xmgFOeDo
running into some familie issues so i will not be working on the project this week stay tuned for more info, while am at it take a look at this beta https://t.co/N6xmgFNGNQ
ran the model on test data and it’s doing decent, but still getting some false positives on no-tumor cases. might need to tweak thresholds or add more samples for balance
built a way to actually see what the model is focusing on with grad-cam. now we can tell if it's looking at the right spots in the mri or just guessing based on weird noise
great news!
a new research paper shows that AI-powered brain scans are not only twice as effective as traditional methods but even outperform doctors in detecting stroke onset and assessing reversible brain damage!
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added data augmentation so the model doesn’t just memorize stuff. rotating, flipping, and shifting mri scans should make it handle real-world cases better. training again now
https://t.co/N6xmgFNGNQ
decided to use transfer learning with vgg16. saves time and gives the model a solid starting point instead of training from scratch. accuracy already looking better
https://t.co/N6xmgFNGNQ
swapped out some layers in the cnn, now it's picking up tumor patterns more clearly. glioma and meningioma detection looking way better. still gotta test on more real-world data tho
https://t.co/N6xmgFNGNQ