Convolutional Neural Networks

Experimental Comparison of State-of-the-Art Deep Learning Approaches for Oral Squamous Cell Carcinoma Cancer Segmentation
Experimental Comparison of State-of-the-Art Deep Learning Approaches for Oral Squamous Cell Carcinoma 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.

Sep 12, 2023