PSA-Net: Deep learning–based physician style–aware segmentation network for postoperative prostate cancer clinical target volumes-Reference-Cited by-同舟云学术

PSA-Net: Deep learning–based physician style–aware segmentation network for postoperative prostate cancer clinical target volumes

Published:2021-11 Issue: Volume:121 Page:102195
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Balagopal Anjali,Morgan Howard,Dohopolski Michael,Timmerman Ramsey,Shan Jie,Heitjan Daniel F.,Liu Wei,Nguyen Dan,Hannan Raquibul,Garant Aurelie,Desai Neil,Jiang Steve

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference31 articles.

1. Adjuvant radiotherapy for pathological T3N0M0 prostate cancer significantly reduces risk of metastases and improves survival: long-term followup of a randomized clinical trial;Thompson;J Urol,2009

2. Adjuvant and salvage radiation therapy after prostatectomy: American Society for Radiation Oncology/American Urological Association guidelines;Valicenti;Am Soc Radiat Oncol/Am Urol Assoc Int J Radiat Oncol Biol Phys,2013

3. Delineation of the prostate bed: the “invisible target” is still an issue?;Latorzeff;Front Oncol,2017

4. Guidelines for target volume definition in post-operative radiotherapy for prostate cancer, on behalf of the EORTC Radiation Oncology Group;Poortmans;Radiother Oncol,2007

5. Post-prostatectomy radiation therapy: consensus guidelines of the Australian and New Zealand Radiation Oncology Genito-Urinary Group;Sidhom;Radiother Oncol,2008

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