Auto‐segmentation of important centers of growth in the pediatric skeleton to consider during radiation therapy based on deep learning-Reference-Cited by-同舟云学术

Auto‐segmentation of important centers of growth in the pediatric skeleton to consider during radiation therapy based on deep learning

Published:2022-09-23 Issue:1 Volume:50 Page:284-296
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Qiu Wenlong¹²,Zhang Wei³,Ma Xingmin²,Kong Youyong⁴,Shi Pengyue⁵,Fu Min¹²,Wang Dandan¹²,Hu Man⁵,Zhou Xianjun⁶,Dong Qian⁶,Zhou Qichao³,Zhu Jian¹²

Affiliation:

1. Shandong First Medical University and Shandong Academy of Medical Sciences Jinan P. R. China

2. Department of Radiation Oncology Physics and Technology Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan P. R. China

3. Manteia Technologies Co., Ltd Xiamen P. R. China

4. School of Computer Science and Engineering Southeast University Nanjing P. R. China

5. Department of Radiation Oncology Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan P. R. China

6. Department of Pediatric Surgery, The Affiliated Hospital of Qingdao University Qingdao P. R. China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15919

Reference27 articles.

1. Clinical Ascertainment of Health Outcomes Among Adults Treated for Childhood Cancer