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Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer

机译：基于深度学习的射线特征，用于改善局部晚期癌症的新辅助化学响应预测

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Jie Fu; Xinran Zhong; Ning Li; Ritchell Van Dams; John Lewis; Kyunghyun Sung; Ann C Raldow; Jing Jin; X Sharon Qi;
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1. Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer [J] . Fu Jie, Zhong Xinran, Li Ning, Physics in medicine and biology. . 2020,第7期

机译：基于深度学习的射线特征，用于改善局部晚期癌症的新辅助化学响应预测
2. Pretreatment MRI Radiomic Features Correlate With Pathologic Response and Metastasis in Patients Receiving Neoadjuvant Chemoradiation for Locally Advanced Rectal Cancer [J] . Boimel P. J., Zhong H., Janopaul-Naylor J., International Journal of Radiation Oncology, Biology, Physics . 2017,第2Suppla期

机译：预处理MRI辐射瘤功能与接受Neoadjuvant校长患者的病理反应和转移相关，用于局部晚肠癌
3. Deep Learning and Radiomics predict complete response after neo-adjuvant chemoradiation for locally advanced rectal cancer [J] . Jean-Emmanuel Bibault, Philippe Giraud, Catherine Durdux, Scientific reports. . 2018,第1期

机译：深度学习和Radiomics预测局部晚期直肠癌新辅助化学放疗后的完全反应
4. Radiomics to Predict Response to Neoadjuvant Chemotherapy in Rectal Cancer: Influence of Simultaneous Feature Selection and Classifier Optimization [C] . S. Rosati, C. M. Gianfreda, G. Balestra, IEEE Life Sciences Conference . 2018

机译：放射学可以预测直肠癌对新辅助化疗的反应：同时特征选择和分类器优化的影响
5. Intenzivnej?e neoadjuvantno zdravljenje lokalno napredovalnega raka danke =Intensified neoadjuvant treatment of locally advanced rectal cancer [D] . Golo, Danijela. 2018

机译：强烈的Neoadjuvant治疗局部晚期癌症射线=加强Neoadjuvant治疗局部晚期直肠癌
6. Pre-Treatment T2-WI Based Radiomics Features for Prediction of Locally Advanced Rectal Cancer Non-Response to Neoadjuvant Chemoradiotherapy: A Preliminary Study [O] . Bianca Petresc, Andrei Lebovici, Cosmin Caraiani, 2020

机译：预处理T2-WI基于射频的特征用于预测局部晚期直肠癌非反应Neoadjuvant ChemoRAdiCatiOurapy：初步研究
7. Complete Pathologic Response Prediction By Radiomics Wavelets Features of Unenhanced CT Simulation Images In Locally Advanced Rectal Cancer Patients After Neoadjuvant Chemoradiation [O] . M. Lutsyk, K. Gourevich, Z. Keidar 2020

机译：Neoadjuvant Chemoradiation后局部晚期直肠癌患者未加入CT仿真图像的辐射CT模拟图像的完整病理反应预测

Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer

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