The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods.

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作者： Shihao,Li ^[1] ; Jianghong,Xiao ^[2] ; Ling,He ^[3] ; Xingchen,Peng ^[3] ; Xuedong,Yuan ^[4]

作者单位： National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, Chengdu, Sichuan, China. ^[1] Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China. ^[2] Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China. ^[3] College of Computer Science, Sichuan University, Chengdu, Sichuan, China. ^[4]

关键词 automatic delineation deep learning nasopharyngeal cancer

主题词青少年(Adolescent);成年人(Adult);老年人(Aged);算法(Algorithms);女(雌)性(Female);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);男(雄)性(Male);中年人(Middle Aged);模型, 理论(Models, Theoretical);鼻咽肿瘤(Nasopharyngeal Neoplasms);肿瘤分期(Neoplasm Staging);危及器官(Organs at Risk);放射治疗计划, 计算机辅助(Radiotherapy Planning, Computer-Assisted);体层摄影术, X线计算机(Tomography, X-Ray Computed);青年人(Young Adult)

DOI 10.1177/1533033819884561

PMID 31736433

发布时间 2020-05-05

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Technology in cancer research & treatment

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The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods.

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The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods.

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