Boosting‐based cascaded convolutional neural networks for the segmentation of CT organs‐at‐risk in nasopharyngeal carcinoma-Reference-Cited by-同舟云学术

Boosting‐based cascaded convolutional neural networks for the segmentation of CT organs‐at‐risk in nasopharyngeal carcinoma

Published:2019-10-10 Issue:12 Volume:46 Page:5602-5611
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Zhong Tao¹²,Huang Xia¹³,Tang Fan¹²⁴,Liang Shujun¹²,Deng Xiaogang⁴,Zhang Yu¹²

Affiliation:

1. School of Biomedical Engineering Southern Medical University 1838 North Guangzhou Avenue Guangzhou 510515 Guangdong China

2. Guangdong Provincial Key Laboratory of Medical Image Processing Southern Medical University 1838 North Guangzhou Avenue Guangzhou 510515 Guangdong China

3. Department of Medical Imaging Center Nanfang Hospital Southern Medical University 1838 North Guangzhou Avenue Guangzhou 510515 Guangdong China

4. Department of Radiation Oncology Nanfang Hospital Southern Medical University 1838 North Guangzhou Avenue Guangzhou 510515 Guangdong China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13825

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5. Ultrasound GLCM texture analysis of radiation-induced parotid-gland injury in head-and-neck cancer radiotherapy: An in vivo study of late toxicity

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