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Novel deep learning radiomics model for preoperative evaluation of hepatocellular carcinoma differentiation based on computed tomography data
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571950/ https://www.ncbi.nlm.nih.gov/pubmed/34841694 http://dx.doi.org/10.1002/ctm2.570 |
| _version_ | 1784595127370514432 |
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| author | Ding, Yong Ruan, Shijian Wang, Yubizhuo Shao, Jiayuan Sun, Rui Tian, Wuwei Xiang, Nan Ge, Weigang Zhang, Xiuming Su, Kunkai Xia, Jingwen Huang, Qiang Liu, Weihai Sun, Qinxue Dong, Haibo Farias, Mylène C. Q. Guo, Tiannan Krylov, Andrey S. Liang, Wenjie Xiao, Wenbo Bai, Xueli Liang, Tingbo |
| author_facet | Ding, Yong Ruan, Shijian Wang, Yubizhuo Shao, Jiayuan Sun, Rui Tian, Wuwei Xiang, Nan Ge, Weigang Zhang, Xiuming Su, Kunkai Xia, Jingwen Huang, Qiang Liu, Weihai Sun, Qinxue Dong, Haibo Farias, Mylène C. Q. Guo, Tiannan Krylov, Andrey S. Liang, Wenjie Xiao, Wenbo Bai, Xueli Liang, Tingbo |
| author_sort | Ding, Yong |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8571950 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | John Wiley and Sons Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-85719502021-11-10 Novel deep learning radiomics model for preoperative evaluation of hepatocellular carcinoma differentiation based on computed tomography data Ding, Yong Ruan, Shijian Wang, Yubizhuo Shao, Jiayuan Sun, Rui Tian, Wuwei Xiang, Nan Ge, Weigang Zhang, Xiuming Su, Kunkai Xia, Jingwen Huang, Qiang Liu, Weihai Sun, Qinxue Dong, Haibo Farias, Mylène C. Q. Guo, Tiannan Krylov, Andrey S. Liang, Wenjie Xiao, Wenbo Bai, Xueli Liang, Tingbo Clin Transl Med Letter to Editor John Wiley and Sons Inc. 2021-11-06 /pmc/articles/PMC8571950/ /pubmed/34841694 http://dx.doi.org/10.1002/ctm2.570 Text en © 2021 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| spellingShingle | Letter to Editor Ding, Yong Ruan, Shijian Wang, Yubizhuo Shao, Jiayuan Sun, Rui Tian, Wuwei Xiang, Nan Ge, Weigang Zhang, Xiuming Su, Kunkai Xia, Jingwen Huang, Qiang Liu, Weihai Sun, Qinxue Dong, Haibo Farias, Mylène C. Q. Guo, Tiannan Krylov, Andrey S. Liang, Wenjie Xiao, Wenbo Bai, Xueli Liang, Tingbo Novel deep learning radiomics model for preoperative evaluation of hepatocellular carcinoma differentiation based on computed tomography data |
| title | Novel deep learning radiomics model for preoperative evaluation of hepatocellular carcinoma differentiation based on computed tomography data |
| title_full | Novel deep learning radiomics model for preoperative evaluation of hepatocellular carcinoma differentiation based on computed tomography data |
| title_fullStr | Novel deep learning radiomics model for preoperative evaluation of hepatocellular carcinoma differentiation based on computed tomography data |
| title_full_unstemmed | Novel deep learning radiomics model for preoperative evaluation of hepatocellular carcinoma differentiation based on computed tomography data |
| title_short | Novel deep learning radiomics model for preoperative evaluation of hepatocellular carcinoma differentiation based on computed tomography data |
| title_sort | novel deep learning radiomics model for preoperative evaluation of hepatocellular carcinoma differentiation based on computed tomography data |
| topic | Letter to Editor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571950/ https://www.ncbi.nlm.nih.gov/pubmed/34841694 http://dx.doi.org/10.1002/ctm2.570 |
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