◦ Designed and implemented multiple ML models for medical image classification tasks, specifically focusing on endoscopy and colonoscopy datasets.
◦ Compared model efficiency and accuracy using Spectrum-Aided Vision Enhancer (SAVE), narrowband imaging, and white light imaging techniques.
◦ Demonstrated that the SAVE algorithm outperformed other ML models in terms of accuracy and classification performance, solidifying its applicability in medical imaging.