Fig. 2: Tiger Model Architecture Design and Applications.
From: Improving AI models for rare thyroid cancer subtype by text guided diffusion models
The Tiger Model is trained and constructed based on the differences in disease subtype features, utilizing disease knowledge(prompt). The model identifies commonality and differences within the feature domain, allowing it to generate diverse feature combinations reflecting true rare subtypes. The training data of the model encompass ultrasonic images and ultrasonic report text. Tiger generates augmented datasets and merges them with real data for training classification models. The realism and diversity of the images are then tested by professionals and evaluated using computer vision indices.
