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| 2023, Vol. 32(4): 360-364 DOI: 10.3760/cma.j.cn113030-20220119-00026 | ||
| The role of radiomics and artificial intelligence in predicting and evaluating the efficacy of neoadjuvant chemoradiotherapy for rectal cancer | ||
| Ouyang Ganlu1,2, Wang Xin1,2 | ||
| 1Department of Abdominal Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China; 2Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China |
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| Received 2022-01-19 Revised null | ||
| Supporting info | ||
| null | ||
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