Based on our paper "Implementing vision transformer for classifying 2D biomedical images" published in Scientific Reports (Nature)

Assignment on Deep-Learning course at ECE AUTH

BloodMNIST image classification and RBFOX1 RNA–protein binding affinity prediction (multiple model architectures + attention)

Classical feature extraction and classification of 8 human blood cell types using the BloodMNIST dataset. Comparison of SVM and Random Forest classifiers on morphology, color, and texture features.