My dissertation project proposing novel Hybrid CNN–Transformer A/B models and scalable segmentation-free guidance modules for investigating shortcut-learning mitigation in brain tumour MRI classification when pixel-level masks are unavailable.

Klasifikasi Kanker otak dengan 7 model CNN

A Novel and Efficient Methodology Based on Blended Machine Learning Techniques for Brain MRI Classification ** Give a Star star2 If it helps you. Please go through the README.md before starting.

Click below to checkout the website of this project

A UNet model trained on the Kaggle Brain MRI segmentation dataset with 84% IoU using PaddleSeg library.