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Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study
Medical Physics ( IF 3.8 ) Pub Date : 2021-02-13 , DOI: 10.1002/mp.14767 Xiangjun Wu 1, 2 , Di Dong 1, 2 , Lu Zhang 3 , Mengjie Fang 1, 2 , Yongbei Zhu 1, 2 , Bingxi He 1, 2 , Zhaoxiang Ye 4 , Minming Zhang 5 , Shuixing Zhang 3 , Jie Tian 2, 6
Medical Physics ( IF 3.8 ) Pub Date : 2021-02-13 , DOI: 10.1002/mp.14767 Xiangjun Wu 1, 2 , Di Dong 1, 2 , Lu Zhang 3 , Mengjie Fang 1, 2 , Yongbei Zhu 1, 2 , Bingxi He 1, 2 , Zhaoxiang Ye 4 , Minming Zhang 5 , Shuixing Zhang 3 , Jie Tian 2, 6
Affiliation
The present study assessed the predictive value of peritumoral regions on three tumor tasks, and further explored the influence of peritumors with different sizes.
中文翻译:
基于深度学习和放射学探索其他肿瘤周围区域的预测价值:一项多中心研究
本研究评估了肿瘤周围区域对三个肿瘤任务的预测价值,并进一步探讨了不同大小的肿瘤周围的影响。
更新日期:2021-02-13
中文翻译:
基于深度学习和放射学探索其他肿瘤周围区域的预测价值:一项多中心研究
本研究评估了肿瘤周围区域对三个肿瘤任务的预测价值,并进一步探讨了不同大小的肿瘤周围的影响。