Multi-modal medical imaging AI using PyTorch for early disease detection, featuring a memory-efficient tensor pipeline, custom datasets, and clinically aware evaluation for real-world use.
- Medical Images extracted from the files and converted into nested variables
- Medical Images are separated into Medical Train and Medical Test
- Using
matplotlib.pyplot, Images have been generated visually inmain.iypnb - Structures of Nested Variable has been loaded into the notebook.
- Updating
vectorimg()function - Initiation (Early) to Machine learning algorithm