TOM: An open-source tongue segmentation method with multi-teacher distillation and task-specific data augmentation

Key Points

• The method enhances tongue segmentation efficiency through multi-teacher distillation, enabling better performance on related tasks.
• Key metrics indicate significant improvement in segmentation accuracy, with specifics on the dataset noted in the abstract.
• Deep learning techniques are employed in this open-source system for effective tongue image processing.
• Such advancements may enable more precise applications in medical imaging and diagnostics, indicating a broader impact on healthcare.