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Learning-based Cancer Treatment Outcome Prognosis using Multimodal Biomarkers.

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第一作者： Maliazurina,Saad

第一单位： Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA. She is now with the MD Anderson Cancer Center, Houston, TX, USA.

作者： Maliazurina,Saad ^[1] ; Shenghua,He ^[2] ; Wade,Thorstad ^[3] ; Hiram,Gay ^[3] ; Daniel,Barnett ^[4] ; Yujie,Zhao ^[5] ; Su,Ruan ^[6] ; Xiaowei,Wang ^[7] ; Hua,Li ^[8]

作者单位： Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA. She is now with the MD Anderson Cancer Center, Houston, TX, USA. ^[1] Department of Computer Science and Engineering, Washington University, Saint louis, MO, USA. ^[2] Department of Radiation Oncology, Washington University School of Medicine, Saint louis, MO, USA. ^[3] Carle Cancer Center, Carle Foundation Hospital, Urbana, IL, USA. ^[4] Mao Clinic at Florida, Jacksonville, FL, USA. ^[5] Laboratoire LITIS (EA 4108), Equipe Quantif, University of Rouen, France. ^[6] Department of Pharmacology and Bioengineering, University of Illinois at Chicago, Chicago, IL, USA. ^[7] Department of Bioengineering, University of Illinois at Urbana-Champaign, Cancer Center at Illinois, and Carle Foundation Hospital, Urbana, IL, USA. ^[8]

关键词 Multimodal biomarkers PET images cancer therapy deep learning microRNA expressions modular framework treatment outcome prediction

DOI 10.1109/trpms.2021.3104297

PMID 35520102

发布时间 2024-08-27

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IEEE transactions on radiation and plasma medical sciences

2022年6卷2期

231-244页

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IEEE transactions on radiation and plasma medical sciences

2022年6卷2期

231-244页

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Learning-based Cancer Treatment Outcome Prognosis using Multimodal Biomarkers.

IEEE transactions on radiation and plasma medical sciences

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Learning-based Cancer Treatment Outcome Prognosis using Multimodal Biomarkers.

IEEE transactions on radiation and plasma medical sciences

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