Tumor heterogeneity estimation for radiomics in cancer.

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作者： Ani,Eloyan ^[1] ; Mun Sang,Yue ^[2] ; Davit,Khachatryan ^[3]

作者单位： Department of Biostatistics, Brown University, Providence, Rhode Island, USA. ^[1] Department of Biostatistics, Gilead Sciences Inc., Foster City, California, USA. ^[2] Division of Mathematics and Science, Babson College, Babson Park, Massachusetts, USA. ^[3]

关键词 Markov random fields cancer imaging computed tomography image segmentation machine learning

主题词人类(Humans);肺(Lung);肺肿瘤(Lung Neoplasms);磁共振成像(Magnetic Resonance Imaging);正电子发射断层显像术(Positron-Emission Tomography);体层摄影术, X线计算机(Tomography, X-Ray Computed)

DOI 10.1002/sim.8749

PMID 32964647

发布时间 2021-07-01

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