Litcius/Paper detail

A novel strategy to develop deep learning for image super-resolution using original ultra-high-resolution computed tomography images of lung as training dataset

Hitoshi Kitahara, Yukihiro Nagatani, Hideji Otani, Ryohei Nakayama, Yukako Kida, Akinaga Sonoda, Yoshiyuki Watanabe

2021Japanese Journal of Radiology21 citationsDOIOpen Access PDF

Topics & Concepts

Artificial intelligenceMatrix (chemical analysis)Computer visionComputer scienceCadaveric spasmImage qualityMaterials scienceImage (mathematics)MedicineAnatomyComposite materialEffects of Radiation ExposureUltrasound in Clinical ApplicationsAdvanced Image Processing Techniques
A novel strategy to develop deep learning for image super-resolution using original ultra-high-resolution computed tomography images of lung as training dataset | Litcius