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3DGAUnet: 3D generative adversarial networks with a 3D U-Net based
  generator to achieve the accurate and effective synthesis of clinical tumor
  image data for pancreatic cancer
v1v2 (latest)

3DGAUnet: 3D generative adversarial networks with a 3D U-Net based generator to achieve the accurate and effective synthesis of clinical tumor image data for pancreatic cancer

9 November 2023
Yu Shi
Hannah Tang
M. Baine
M. A. Hollingsworth
Huijing Du
Dandan Zheng
Chi Zhang
Hongfeng Yu
    MedIm
ArXiv (abs)PDFHTML

Papers citing "3DGAUnet: 3D generative adversarial networks with a 3D U-Net based generator to achieve the accurate and effective synthesis of clinical tumor image data for pancreatic cancer"

1 / 1 papers shown
Title
MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative
  Adversarial Networks
MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks
Giovanni Pasqualino
Luca Guarnera
A. Ortis
Sebastiano Battiato
MedIm
84
4
0
17 Jan 2024
1