Text-Guided Synthesis in Medical Multimedia Retrieval: A Framework for Enhanced Colonoscopy Image Classification and Segmentation
The lack of extensive, varied, and thoroughly annotated datasets impedes the advancement of artificial intelligence (AI) for medical applications, especially colorectal cancer detection.Models trained with limited diversity often display biases, especially when utilized on disadvantaged groups.Generative models (e.g., DALL-E 2, Vector-Quantized Gen