This is my dissertation project on brain tumour MRI classification. It develops hybrid CNN-Transformer models with two scalable guidance modules to investigate shortcut-learning mitigation.

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.

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

Click below to checkout the website of this project