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Open-source domain adaptation to handle data shift for volumetric segmentation-use case kidney segmentation.

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第一作者： Ramon,Correa-Medero

第一单位： School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA.

作者： Ramon,Correa-Medero ^[1] ; Umar,Ghaffar ^[2] ; Sam,Fathizadeh ^[3] ; Bhavik,Patel ^[4] ; Haidar,Abdul-Muhsin ^[5] ; Imon,Banerjee ^[6]

作者单位： School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA. ^[1] Cedars Sinai Medical Centre, Los Angeles, CA, USA. ^[2] Department of Radiology, Mayo Clinic, Phoenix, AZ, USA. ^[3] School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA.;Department of Radiology, Mayo Clinic, Phoenix, AZ, USA. ^[4] Department of Radiology, Mayo Clinic, Phoenix, AZ, USA.;Department of Urology, Mayo Clinic, Phoenix, USA. ^[5] School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA. Banerjee.Imon@mayo.edu.;Department of Radiology, Mayo Clinic, Phoenix, AZ, USA. Banerjee.Imon@mayo.edu. ^[6]

关键词 Contrast phase Domain adaptation Domain-shift Kidney Segmentation

医学主题词人类(Humans);肾(Kidney);体层摄影术, X线计算机(Tomography, X-Ray Computed);放射摄影影像解释, 计算机辅助(Radiographic Image Interpretation, Computer-Assisted);造影剂(Contrast Media);肾疾病(Kidney Diseases)

DOI 10.1007/s00330-025-11786-9

PMID 40581675

发布时间 2025-12-17

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准确一般字义偏差语意偏离译文作用小提交