Wait for my official announcement on the supply lock
Klutch@luvklutch_
@qqxns Are you locking supply?
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Quentin Hilt
348 posts
Quentin Hilt
@qqxns
i build and break stuff along the way. if it works dont mess with it.
Katılım Şubat 2022
101 Takip Edilen12.6K Takipçiler
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.
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If you're curious about the details, I put everything on GitHub the code, model, dataset info, and how it all ties into Solana.
📂: github.com/qqxnsx/bs-ai
🔗: FwABJuaQtNNKzvxLYEH2vRiQVJwH9c2YKNQAFHPypump
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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.
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today is officially the day im so excited
Quentin Hilt@qqxns
its officially ready... will talk more about it soon
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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
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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
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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
github.com/qqxnsx/bs-ai/t…
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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 github.com/qqxnsx/bs-ai/t…
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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
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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
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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
github.com/qqxnsx/bs-ai/t…
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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
github.com/qqxnsx/bs-ai/t…
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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
github.com/qqxnsx/bs-ai/t…
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im not a big fan of stocks but how does stuff like this happen?
Watcher.Guru@WatcherGuru
JUST IN: NVIDIA $NVDA closes down 8.7% today, erasing $260,000,000,000 from its market cap.
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