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A novel strategy to develop deep learning for image super-r..:
Kitahara, Hitoshi
;
Nagatani, Yukihiro
;
Otani, Hideji
...
Japanese Journal of Radiology. 40 (2021) 1 - p. 38-47 , 2021
Link:
https://doi.org/10.1007/s11604-021-01184-8
RT Journal T1
A novel strategy to develop deep learning for image super-resolution using original ultra-high-resolution computed tomography images of lung as training dataset
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s11604-021-01184-8&Exemplar=1&LAN=DE A1 Kitahara, Hitoshi A1 Nagatani, Yukihiro A1 Otani, Hideji A1 Nakayama, Ryohei A1 Kida, Yukako A1 Sonoda, Akinaga A1 Watanabe, Yoshiyuki PB Springer Science and Business Media LLC YR 2021 SN 1867-1071 SN 1867-108X JF Japanese Journal of Radiology VO 40 IS 1 SP 38 OP 47 LK http://dx.doi.org/https://doi.org/10.1007/s11604-021-01184-8 DO https://doi.org/10.1007/s11604-021-01184-8 SF ELIB - SuUB Bremen
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