Clinical target volume delineation quality assurance for MRI-guided prostate radiotherapy using deep learning with uncertainty estimation

Author:

Min Hang,Dowling Jason,Jameson Michael G,Cloak Kirrily,Faustino Joselle,Sidhom Mark,Martin Jarad,Cardoso Michael,Ebert Martin A,Haworth Annette,Chlap Phillip,de Leon Jeremiah,Berry Megan,Pryor David,Greer Peter,Vinod Shalini K.,Holloway Lois

Funder

National Health and Medical Research Council

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Oncology,Hematology

Reference23 articles.

1. Recent global patterns in prostate cancer incidence and mortality rates;Culp;Eur Urol,2020

2. A narrative review of MRI acquisition for MR-guided-radiotherapy in prostate cancer;Yuan;Quant Imaging Med Surg,2022

3. Variability of clinical target volume delineation for rectal cancer patients planned for neoadjuvant radiotherapy with the aid of the platform Anatom-e;Franco;Clin Transl Radiat Oncol,2018

4. Overview of artificial intelligence-based applications in radiotherapy: recommendations for implementation and quality assurance;Vandewinckele;Radiother Oncol,2020

5. CNN-based quality assurance for automatic segmentation of breast cancer in radiotherapy;Chen;Front Oncol,2020

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