334 related articles for article (PubMed ID: 34293536)
1. The predictive value of segmentation metrics on dosimetry in organs at risk of the brain.
Poel R; Rüfenacht E; Hermann E; Scheib S; Manser P; Aebersold DM; Reyes M
Med Image Anal; 2021 Oct; 73():102161. PubMed ID: 34293536
[TBL] [Abstract][Full Text] [Related]
2. The dosimetric impact of deep learning-based auto-segmentation of organs at risk on nasopharyngeal and rectal cancer.
Guo H; Wang J; Xia X; Zhong Y; Peng J; Zhang Z; Hu W
Radiat Oncol; 2021 Jun; 16(1):113. PubMed ID: 34162410
[TBL] [Abstract][Full Text] [Related]
3. Geometric and dosimetric evaluation of deep learning based auto-segmentation for clinical target volume on breast cancer.
Zhong Y; Guo Y; Fang Y; Wu Z; Wang J; Hu W
J Appl Clin Med Phys; 2023 Jul; 24(7):e13951. PubMed ID: 36920901
[TBL] [Abstract][Full Text] [Related]
4. Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery.
Chung SY; Chang JS; Choi MS; Chang Y; Choi BS; Chun J; Keum KC; Kim JS; Kim YB
Radiat Oncol; 2021 Feb; 16(1):44. PubMed ID: 33632248
[TBL] [Abstract][Full Text] [Related]
5. Initial Evaluation of a Novel Cone-Beam CT-Based Semi-Automated Online Adaptive Radiotherapy System for Head and Neck Cancer Treatment - A Timing and Automation Quality Study.
Yoon SW; Lin H; Alonso-Basanta M; Anderson N; Apinorasethkul O; Cooper K; Dong L; Kempsey B; Marcel J; Metz J; Scheuermann R; Li T
Cureus; 2020 Aug; 12(8):e9660. PubMed ID: 32923257
[TBL] [Abstract][Full Text] [Related]
6. Geometric and dosimetric evaluations of atlas-based segmentation methods of MR images in the head and neck region.
Kieselmann JP; Kamerling CP; Burgos N; Menten MJ; Fuller CD; Nill S; Cardoso MJ; Oelfke U
Phys Med Biol; 2018 Jul; 63(14):145007. PubMed ID: 29882749
[TBL] [Abstract][Full Text] [Related]
7. Automatic segmentation for adaptive planning in nasopharyngeal carcinoma IMRT: Time, geometrical, and dosimetric analysis.
Fung NTC; Hung WM; Sze CK; Lee MCH; Ng WT
Med Dosim; 2020 Spring; 45(1):60-65. PubMed ID: 31345672
[TBL] [Abstract][Full Text] [Related]
8. Improved dosimetric accuracy with semi-automatic contour propagation of organs-at-risk in glioblastoma patients undergoing chemoradiation.
Lee S; Stewart J; Lee Y; Myrehaug S; Sahgal A; Ruschin M; Tseng CL
J Appl Clin Med Phys; 2019 Dec; 20(12):45-53. PubMed ID: 31670900
[TBL] [Abstract][Full Text] [Related]
9. Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer.
Kawula M; Purice D; Li M; Vivar G; Ahmadi SA; Parodi K; Belka C; Landry G; Kurz C
Radiat Oncol; 2022 Jan; 17(1):21. PubMed ID: 35101068
[TBL] [Abstract][Full Text] [Related]
10. Evaluating the clinical acceptability of deep learning contours of prostate and organs-at-risk in an automated prostate treatment planning process.
Duan J; Bernard M; Downes L; Willows B; Feng X; Mourad WF; St Clair W; Chen Q
Med Phys; 2022 Apr; 49(4):2570-2581. PubMed ID: 35147216
[TBL] [Abstract][Full Text] [Related]
11. AAR-RT - A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases.
Wu X; Udupa JK; Tong Y; Odhner D; Pednekar GV; Simone CB; McLaughlin D; Apinorasethkul C; Apinorasethkul O; Lukens J; Mihailidis D; Shammo G; James P; Tiwari A; Wojtowicz L; Camaratta J; Torigian DA
Med Image Anal; 2019 May; 54():45-62. PubMed ID: 30831357
[TBL] [Abstract][Full Text] [Related]
12. Auto-segmentation of organs at risk for head and neck radiotherapy planning: From atlas-based to deep learning methods.
Vrtovec T; Močnik D; Strojan P; Pernuš F; Ibragimov B
Med Phys; 2020 Sep; 47(9):e929-e950. PubMed ID: 32510603
[TBL] [Abstract][Full Text] [Related]
13. Deep Learning-Based Delineation of Head and Neck Organs at Risk: Geometric and Dosimetric Evaluation.
van Rooij W; Dahele M; Ribeiro Brandao H; Delaney AR; Slotman BJ; Verbakel WF
Int J Radiat Oncol Biol Phys; 2019 Jul; 104(3):677-684. PubMed ID: 30836167
[TBL] [Abstract][Full Text] [Related]
14. Geometric evaluations of CT and MRI based deep learning segmentation for brain OARs in radiotherapy.
Alzahrani N; Henry A; Clark A; Murray L; Nix M; Al-Qaisieh B
Phys Med Biol; 2023 Aug; 68(17):. PubMed ID: 37579753
[No Abstract] [Full Text] [Related]
15. Clinically Oriented Contour Evaluation Using Dosimetric Indices Generated From Automated Knowledge-Based Planning.
Lim TY; Gillespie E; Murphy J; Moore KL
Int J Radiat Oncol Biol Phys; 2019 Apr; 103(5):1251-1260. PubMed ID: 30508619
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of Automatic Segmentation Model With Dosimetric Metrics for Radiotherapy of Esophageal Cancer.
Zhu J; Chen X; Yang B; Bi N; Zhang T; Men K; Dai J
Front Oncol; 2020; 10():564737. PubMed ID: 33117694
[No Abstract] [Full Text] [Related]
17. Clinical Validation of a Deep-Learning Segmentation Software in Head and Neck: An Early Analysis in a Developing Radiation Oncology Center.
D'Aviero A; Re A; Catucci F; Piccari D; Votta C; Piro D; Piras A; Di Dio C; Iezzi M; Preziosi F; Menna S; Quaranta F; Boschetti A; Marras M; Miccichè F; Gallus R; Indovina L; Bussu F; Valentini V; Cusumano D; Mattiucci GC
Int J Environ Res Public Health; 2022 Jul; 19(15):. PubMed ID: 35897425
[TBL] [Abstract][Full Text] [Related]
18. Geometric and Dosimetric Evaluation of the Automatic Delineation of Organs at Risk (OARs) in Non-Small-Cell Lung Cancer Radiotherapy Based on a Modified DenseNet Deep Learning Network.
Zhang F; Wang Q; Yang A; Lu N; Jiang H; Chen D; Yu Y; Wang Y
Front Oncol; 2022; 12():861857. PubMed ID: 35371991
[TBL] [Abstract][Full Text] [Related]
19. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
Ibragimov B; Xing L
Med Phys; 2017 Feb; 44(2):547-557. PubMed ID: 28205307
[TBL] [Abstract][Full Text] [Related]
20. Patient-specific transfer learning for auto-segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi-centric evaluation.
Kawula M; Hadi I; Nierer L; Vagni M; Cusumano D; Boldrini L; Placidi L; Corradini S; Belka C; Landry G; Kurz C
Med Phys; 2023 Mar; 50(3):1573-1585. PubMed ID: 36259384
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
