Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/wiley/a-future-of-automated-image-contouring-with-machine-learning-in-ec29PT6Tvu
References (8)
-
(2016)
Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technology sparse annotation -
Li Lin, Q. Dou, Yueming Jin, G. Zhou, Yi-Qiang Tang, Wei-Lin Chen, B. Su, Feng Liu, C. Tao, N. Jiang, Jun-Yun Li, L. Tang, Chuan-miao Xie, Shao-min Huang, Jun Ma, P. Heng, J. Wee, M. Chua, Hao Chen, Ying Sun (2019)
Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma.Radiology, 291 3
-
Özgün Çiçek, A. Abdulkadir, S. Lienkamp, T. Brox, O. Ronneberger (2016)
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation -
Yunfei Hu, M. Byrne, B. Archibald-Heeren, Kenton Thompson, A. Fong, M. Knesl, A. Teh, Eve Tiong, Richard Foster, Paul Melnyk, Michelle Burr, Amelia Thompson, Jiy Lim, Luke Moore, Fiona Gordon, Rylie Humble, Anna Hardy, S. Williams (2019)
Implementing user‐defined atlas‐based auto‐segmentation for a large multi‐centre organisation: the Australian ExperienceJournal of Medical Radiation Sciences, 66
-
Per Capita, E. Dawson, Myfan Jordan (1995)
About the authorsMachine Vision and Applications, 1
-
(2019)
A future of automated image contouring with machine learning in radiation therapy -
Sainbayar Sukhbaatar, Joan Bruna, Manohar Paluri, Lubomir Bourdev, R. Fergus (2014)
Training Convolutional Networks with Noisy LabelsarXiv: Computer Vision and Pattern Recognition
-
Wentao Zhu, Yufang Huang, Liang Zeng, Xuming Chen, Yong Liu, Zhen Qian, Nan Du, Wei Fan, Xiaohui Xie (2018)
AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomyMedical Physics, 46
- Publisher
- Wiley
- Copyright
- Copyright © 2019 Journal of Medical Radiation Sciences published by John Wiley & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technology
- eISSN
- 2051-3909
- DOI
- 10.1002/jmrs.365
- Publisher site
- See Article on Publisher Site
Abstract
Journal
Journal of Medical Radiation Sciences – Wiley
Published: Dec 1, 2019