Color Modifications and its Effect on Deep Learning Approaches for OSCC Cancer Segmentation
This study examines how Color Modification Techniques (CMT) improve the performance of U-Net-based models in segmenting Oral Squamous Cell Carcinoma (OSCC) using a dataset of 200 images. Results show that CMT enhances segmentation accuracy and efficiency.
Jan 12, 2022
