A Conditional Denoising Diffusion Probabilistic Framework for Synthetic Data Augmentation for Thoracic Disease Classification
Thoracic disease localization and classification using deep learning models on chest X-rays are limited due to a.) imbalanced medical datasets, b.) severe overfitting, and c.) poor generalization on unseen data. This paper proposes a two-stage training pipeline based on a Conditional Denoising Diffusion Probabilistic M...