TDASD: Generating medically significant fine-grained lung adenocarcinoma nodule CT images based on stable diffusion models with limited sample size.
Yidan XuJiaqing LiangYaoyao ZhuoLei LiuYanghua XiaoLingxiao ZhouPublished in: Comput. Methods Programs Biomed. (2024)
Keyphrases
- ct images
- fine grained
- sample size
- computed tomography
- pulmonary nodules
- lung nodules
- diffusion models
- coarse grained
- ct scans
- medical images
- model selection
- nodule detection
- medical imaging
- upper bound
- access control
- region of interest
- pet ct
- statistical tests
- diffusion model
- information diffusion
- computer tomography
- worst case
- treatment planning
- lung cancer
- ct data
- three dimensional
- social networks
- pattern recognition
- confidence intervals
- image processing
- lower bound
- objective function
- imaging modalities
- computer vision
- computer aided