2 papers
eess.IV2026
Generation of Chest CT pulmonary Nodule Images by Latent Diffusion Models using the LIDC-IDRI Dataset
Kaito Urata, Maiko Nagao, Atsushi Teramoto +3
Recently, computer-aided diagnosis systems have been developed to support diagnosis, but their performance depends heavily on the quality and quantity of training data. However, in…
eess.IV2026
Visual question answering-based image-finding generation for pulmonary nodules on chest CT from structured annotations
Maiko Nagao, Kaito Urata, Atsushi Teramoto +3
Interpretation of imaging findings based on morphological characteristics is important for diagnosing pulmonary nodules on chest computed tomography (CT) images. In this study, we…