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Rong Hu
Central South University - School of Computer Science and Engineering
Changsha, Hunan
China
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SCHOLARLY PAPERS
1
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Scholarly Papers (1)
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1.
Performance of Automatic Machine Learning versus Radiologists in the Evaluation of Endometrium on Computed Tomography
Number of pages: 43
Posted: 22 Sep 2020
Dan Li
, Rong Hu,
Jing Wu
,
Shixin Liu
,
Subhanik Purkayastha
,
Michael Atalay
,
Dania Daye
,
Paul J. Zhang
,
Shaolei Lu
,
Ken Chang
,
Raymond Y. Huang
,
Michael D. Beland
,
Beiji Zou
,
Zishu Zhang
,
Chengzhang Zhu
and
Harrison X. Bai
Sun Yat-sen University (SYSU) - Department of Interventional Medicine, Central South University - School of Computer Science and Engineering, Central South University - Department of Radiology,
affiliation not provided to SSRN
, Brown University - Department of Diagnostic Imaging, Brown University - Department of Diagnostic Imaging, Harvard University - Department of Radiology, University of Pennsylvania - Department of Pathology and Laboratory Medicine, Brown University - Department of Pathology, Harvard University - Department of Radiology, Harvard University - Department of Radiology, Brown University - Department of Diagnostic Imaging, Central South University - School of Computer Science and Engineering, Central South University - Department of Radiology, Central South University - College of Literature and Journalism and Brown University - Department of Diagnostic Imaging
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Abstract:
endometrial cancer, automatic machine learning, radiomics, computed tomography
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