Evaluation of atlas‐based auto‐segmentation software in prostate cancer patients-Reference-Cited by-同舟云学术

Evaluation of atlas‐based auto‐segmentation software in prostate cancer patients

Published:2014-08-06 Issue:3 Volume:61 Page:151-158
ISSN:2051-3895
Container-title:Journal of Medical Radiation Sciences
language:en
Short-container-title:J Med Radiat Sci

Author:

Greenham Stuart¹,Dean Jenna²,Fu Cheuk Kuen Kenneth³,Goman Joanne⁴,Mulligan Jeremy²,Tune Deanna¹,Sampson David³,Westhuyzen Justin¹,McKay Michael³

Affiliation:

1. Department of Radiation Oncology North Coast Cancer Institute Coffs Harbour Health Campus Coffs Harbour New South Wales Australia

2. North Coast Cancer Institute Port Macquarie Health Campus Port Macquarie New South Wales Australia

3. North Coast Cancer Institute Lismore Health Campus Lismore New South Wales Australia

4. Department of Radiation Oncology Calvary Mater Newcastle Newcastle New South Wales Australia

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmrs.64

Reference12 articles.

1. eviQCancer Treatments Online a service of cancer institute NSW.Urogenital prostate protocols[updated 27 July 2014; cited March 2013]. Available from:https://www.eviq.org.au/Protocol/tabid/66/id/235/view/FullView/Radiation+Oncology%2c+Prostate%2c+High+Risk%2c+EBRT%2c+Definitive.aspx.

2. Does atlas-based autosegmentation of neck levels require subsequent manual contour editing to avoid risk of severe target underdosage? A dosimetric analysis

3. A qualitative and a quantitative analysis of an auto-segmentation module for prostate cancer

4. The evaluation of a deformable image registration segmentation technique for semi-automating internal target volume (ITV) production from 4DCT images of lung stereotactic body radiotherapy (SBRT) patients

5. Simultaneous Truth and Performance Level Estimation (STAPLE): An Algorithm for the Validation of Image Segmentation

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