scholarly journals Technical Note: More accurate and efficient segmentation of organs‐at‐risk in radiotherapy with convolutional neural networks cascades

2018 ◽  
Author(s):  
Kuo Men ◽  
Huaizhi Geng ◽  
Chingyun Cheng ◽  
Haoyu Zhong ◽  
Mi Huang ◽  
...  
Keyword(s):  
Neural Networks ◽  
At Risk ◽  
Convolutional Neural Networks ◽  
Organs At Risk ◽  
Technical Note

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

2019 ◽  
Vol 46 (12) ◽  
pp. 5602-5611 ◽  
Author(s):  
Tao Zhong ◽  
Xia Huang ◽  
Fan Tang ◽  
Shujun Liang ◽  
Xiaogang Deng ◽  
...  
Keyword(s):  
Neural Networks ◽  
At Risk ◽  
Nasopharyngeal Carcinoma ◽  
Convolutional Neural Networks ◽  
Organs At Risk

Technical Note: A method to evaluate dosimetric effects on organs-at-risk for treatment delivery systematic uncertainties

2017 ◽  
Vol 44 (4) ◽  
pp. 1552-1557
Author(s):  
Shi Liu ◽  
Thomas R. Mazur ◽  
Yabo Fu ◽  
H. Harold Li ◽  
Sasa Mutic ◽  
...  
Keyword(s):  
At Risk ◽  
Organs At Risk ◽  
Technical Note ◽  
Treatment Delivery ◽  
Systematic Uncertainties

Monitoring patients at risk for melanoma: May convolutional neural networks replace the strategy of sequential digital dermoscopy?

2021 ◽  
Author(s):  
Julia K. Winkler ◽  
Philipp Tschandl ◽  
Ferdinand Toberer ◽  
Katharina Sies ◽  
Christine Fink ◽  
...  
Keyword(s):  
Neural Networks ◽  
At Risk ◽  
Convolutional Neural Networks ◽  
Patients At Risk ◽  
Digital Dermoscopy
Sign in / Sign up

Export Citation Format

Share Document