Implementing user‐defined atlas‐based auto‐segmentation for a large multi‐centre organisation: the Australian Experience-Reference-Cited by-同舟云学术

Implementing user‐defined atlas‐based auto‐segmentation for a large multi‐centre organisation: the Australian Experience

Published:2019-10-28 Issue:4 Volume:66 Page:238-249
ISSN:2051-3895
Container-title:Journal of Medical Radiation Sciences
language:en
Short-container-title:J Med Radiat Sci

Author:

Hu Yunfei¹²^ORCID,Byrne Mikel³,Archibald‐Heeren Ben²³,Thompson Kenton⁴,Fong Andrew³,Knesl Marcel⁵,Teh Amy¹³⁶,Tiong Eve⁷,Foster Richard⁸,Melnyk Paul¹,Burr Michelle³,Thompson Amelia³,Lim Jiy³,Moore Luke³,Gordon Fiona³,Humble Rylie⁹,Hardy Anna¹⁰,Williams Saul¹¹

Affiliation:

1. ICON Cancer Centre Gosford Gosford New South Wales Australia

2. Centre for Radiation Medical Physics University of Wollongong Wollongong New South Wales Australia

3. ICON Cancer Centre Wahroonga Sydney Adventist Hospital Wahroonga New South Wales Australia

4. Peter MacCallum Cancer Centre Melbourne Victoria Australia

5. ICON Cancer Centre Maroochydore Maroochydore Queensland Australia

6. Sydney Adventist Hospital Clinical School Sydney Medical School University of Sydney Sydney New South Wales Australia

7. ICON Cancer Centre Midland Midland Western Australia Australia

8. ICON Cancer Centre Hobart Hobart Tasmania Australia

9. ICON Cancer Centre Cairns Liz Plummer Cancer Care Centre Cairns Queensland Australia

10. ICON Cancer Centre Springfield Level 1, Cancer Care Centre Mater Private Hospital Springfield Queensland Australia

11. ICON Cancer Centre Rockingham Rockingham Western Australia Australia

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmrs.359

Reference29 articles.

1. Variations in the Contouring of Organs at Risk: Test Case From a Patient With Oropharyngeal Cancer

2. Radiotherapy Dose–Volume Effects on Salivary Gland Function

3. Atlas-Based Auto-segmentation of Head and Neck CT Images

4. Multi-subject atlas-based auto-segmentation reduces interobserver variation and improves dosimetric parameter consistency for organs at risk in nasopharyngeal carcinoma: A multi-institution clinical study

5. Recommendations on how to establish evidence from auto-segmentation software in radiotherapy

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