Spectroscopy for Tissue Differentiation
This project aims to develop a non-invasive optical imaging technique, enhanced by deep learning algorithms, to generate histology-like images for precise cancer detection or detailed tissue analysis. By integrating deep learning methods, this approach seeks to improve the accuracy and reliability of detecting cancerous tissues and borders in between tissues, providing a powerful tool for treatment planning.
