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Impact of bias field correction on 0.35 T pelvic MR images: evaluation on generative adversarial network-based OARs’ auto-segmentation and visual grading assessment

Document Type

Article

Author

Vagni, M.; Tran, H.E.; Chiloiro, G.; Romano, A.; Boldrini, L.; Indovina, L.; Gambacorta, M.A.; Cusumano, D.; Placidi, L.; Catucci, F.; D’Aviero, A.; Re, A.; Kawula, M.; Lombardo, E.; Kurz, C.; Landry, G.; Belka, C.

Source

In: Frontiers in Oncology. (Frontiers in Oncology, 2024, 14)

Subject

Language

English

ISSN

2234943X

Online Access

Open Access (EBSCO) Web of Science JCR 저널정보 Scopus Find it@PNU

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