Young oncologists benefit more than experts from deep learning-based organs-at-risk contouring modeling in nasopharyngeal carcinoma radiotherapy: A multi-institution clinical study exploring working experience and institute group style factor

Author:

Song Ying,Hu JunjieORCID,Wang Qiang,Yu Chengrong,Su JiachongORCID,Chen Lin,Jiang Xiaorui,Chen Bo,Zhang LeiORCID,Yu Qian,Li Ping,Wang Feng,Bai Sen,Luo Yong,Yi ZhangORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Oncology

Reference40 articles.

1. Review on Nasopharyngeal Carcinoma: concepts, methods of analysis, segmentation, classification, prediction and impact: a review of the research literature;Mohammed;J Comput Sci,2017

2. Global trends in incidence and mortality of nasopharyngeal carcinoma;Tang;Cancer Lett,2016

3. Nasopharyngeal carcinoma incidence and mortality in China, 2013;Wei;Chin J Cancer,2017

4. Radiotherapy alone and with concurrent chemotherapy for nasopharyngeal carcinoma: a retrospective study;Katano;Medicine (Baltimore),2018

5. Concurrent chemoradiotherapy in locoregionally advanced nasopharyngeal carcinoma: treatment outcomes of a prospective multicentric clinical study;Wang;Radiotherapy Oncol J Eur Soc Therapeutic Radiol Oncol,2014

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