"Training deep cross-modality conversion models with a small amount of data ..."

Sho Ozaki et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-07-20

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2107-05238
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2107-05238
Sho Ozaki, Shizuo Kaji, Kanabu Nawa, Toshikazu Imae, Atsushi Aoki, Takahiro Nakamoto, Takeshi Ohta, Yuki Nozawa, Hideomi Yamashita, Akihiro Haga, Keiichi Nakagawa:
Training deep cross-modality conversion models with a small amount of data and its application to MVCT to kVCT conversion. CoRR abs/2107.05238 (2021)

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