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https://ahro.austin.org.au/austinjspui/handle/1/33653| Title: | Editorial: Application of radiomics in understanding tumor biological behaviors and treatment response. | Austin Authors: | Xiao, Ningping;Pei, Zhengda;Lu, Wenhui;Fang, Rongyao;Jin, Yi;Zhou, Guanzhi;Meng, Xue;Ng, Sweet Ping ;Xing, Lei;Liao, Zhongxing;Sijtsema, Nanna Maria;Yang, Pei | Affiliation: | Hunan Cancer Hospital, Xiangya School of Medicine, Central South University, Changsha, Hunan, China. Graduate Collaborative Training Base of Hunan Cancer Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China. Department of Radiotherapy, University Medical Center Groningen, Groningen, Netherlands. Department of Radiation Oncology, Shandong Cancer Hospital, Jinan, Shandong, China. Radiation Oncology School of Medicine, Stanford University, Stanford, CA, United States. Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States. Department of Radiotherapy, University Medical Center Groningen, Groningen, Netherlands. Olivia Newton-John Cancer Wellness and Research Centre |
Issue Date: | 2023 | Date: | 2023 | Publication information: | Frontiers in Oncology 2023; 13 | URI: | https://ahro.austin.org.au/austinjspui/handle/1/33653 | DOI: | 10.3389/fonc.2023.1257447 | ORCID: | Journal: | Frontiers in Oncology | Start page: | 1257447 | PubMed URL: | 37664068 | Type: | Journal Article | Subjects: | artificial intelligence biological behaviors cancer individual treatment machine learning radiomics |
| Appears in Collections: | Journal articles |
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