266 related articles for article (PubMed ID: 34649569)
1. Evaluation of deep learning-based autosegmentation in breast cancer radiotherapy.
Byun HK; Chang JS; Choi MS; Chun J; Jung J; Jeong C; Kim JS; Chang Y; Chung SY; Lee S; Kim YB
Radiat Oncol; 2021 Oct; 16(1):203. PubMed ID: 34649569
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Clinical validation of atlas-based auto-segmentation of multiple target volumes and normal tissue (swallowing/mastication) structures in the head and neck.
Teguh DN; Levendag PC; Voet PW; Al-Mamgani A; Han X; Wolf TK; Hibbard LS; Nowak P; Akhiat H; Dirkx ML; Heijmen BJ; Hoogeman MS
Int J Radiat Oncol Biol Phys; 2011 Nov; 81(4):950-7. PubMed ID: 20932664
[TBL] [Abstract][Full Text] [Related]
5. Dosimetric impact of contour editing on CT and MRI deep-learning autosegmentation for brain OARs.
Alzahrani NM; Henry AM; Clark AK; Al-Qaisieh BM; Murray LJ; Nix MG
J Appl Clin Med Phys; 2024 May; 25(5):e14345. PubMed ID: 38664894
[TBL] [Abstract][Full Text] [Related]
6. Evaluation of multiple-vendor AI autocontouring solutions.
Goddard L; Velten C; Tang J; Skalina KA; Boyd R; Martin W; Basavatia A; Garg M; Tomé WA
Radiat Oncol; 2024 May; 19(1):69. PubMed ID: 38822385
[TBL] [Abstract][Full Text] [Related]
7. Evaluating performance of a user-trained MR lung tumor autocontouring algorithm in the context of intra- and interobserver variations.
Yip E; Yun J; Gabos Z; Baker S; Yee D; Wachowicz K; Rathee S; Fallone BG
Med Phys; 2018 Jan; 45(1):307-313. PubMed ID: 29159957
[TBL] [Abstract][Full Text] [Related]
8. Atlas-based segmentation improves consistency and decreases time required for contouring postoperative endometrial cancer nodal volumes.
Young AV; Wortham A; Wernick I; Evans A; Ennis RD
Int J Radiat Oncol Biol Phys; 2011 Mar; 79(3):943-7. PubMed ID: 21281897
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Comparative evaluation of autocontouring in clinical practice: A practical method using the Turing test.
Gooding MJ; Smith AJ; Tariq M; Aljabar P; Peressutti D; van der Stoep J; Reymen B; Emans D; Hattu D; van Loon J; de Rooy M; Wanders R; Peeters S; Lustberg T; van Soest J; Dekker A; van Elmpt W
Med Phys; 2018 Nov; 45(11):5105-5115. PubMed ID: 30229951
[TBL] [Abstract][Full Text] [Related]
12. Implementation of deep learning-based auto-segmentation for radiotherapy planning structures: a workflow study at two cancer centers.
Wong J; Huang V; Wells D; Giambattista J; Giambattista J; Kolbeck C; Otto K; Saibishkumar EP; Alexander A
Radiat Oncol; 2021 Jun; 16(1):101. PubMed ID: 34103062
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of a commercial DIR platform for contour propagation in prostate cancer patients treated with IMRT/VMAT.
Hammers JE; Pirozzi S; Lindsay D; Kaidar-Person O; Tan X; Chen RC; Das SK; Mavroidis P
J Appl Clin Med Phys; 2020 Feb; 21(2):14-25. PubMed ID: 32058663
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of Deep Learning to Augment Image-Guided Radiotherapy for Head and Neck and Prostate Cancers.
Oktay O; Nanavati J; Schwaighofer A; Carter D; Bristow M; Tanno R; Jena R; Barnett G; Noble D; Rimmer Y; Glocker B; O'Hara K; Bishop C; Alvarez-Valle J; Nori A
JAMA Netw Open; 2020 Nov; 3(11):e2027426. PubMed ID: 33252691
[TBL] [Abstract][Full Text] [Related]
15. Automatic contouring QA method using a deep learning-based autocontouring system.
Rhee DJ; Akinfenwa CPA; Rigaud B; Jhingran A; Cardenas CE; Zhang L; Prajapati S; Kry SF; Brock KK; Beadle BM; Shaw W; O'Reilly F; Parkes J; Burger H; Fakie N; Trauernicht C; Simonds H; Court LE
J Appl Clin Med Phys; 2022 Aug; 23(8):e13647. PubMed ID: 35580067
[TBL] [Abstract][Full Text] [Related]
16. Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring.
van Dijk LV; Van den Bosch L; Aljabar P; Peressutti D; Both S; J H M Steenbakkers R; Langendijk JA; Gooding MJ; Brouwer CL
Radiother Oncol; 2020 Jan; 142():115-123. PubMed ID: 31653573
[TBL] [Abstract][Full Text] [Related]
17. Clinical Use of a Commercial Artificial Intelligence-Based Software for Autocontouring in Radiation Therapy: Geometric Performance and Dosimetric Impact.
Hoque SMH; Pirrone G; Matrone F; Donofrio A; Fanetti G; Caroli A; Rista RS; Bortolus R; Avanzo M; Drigo A; Chiovati P
Cancers (Basel); 2023 Dec; 15(24):. PubMed ID: 38136281
[TBL] [Abstract][Full Text] [Related]
18. Comparative clinical evaluation of atlas and deep-learning-based auto-segmentation of organ structures in liver cancer.
Ahn SH; Yeo AU; Kim KH; Kim C; Goh Y; Cho S; Lee SB; Lim YK; Kim H; Shin D; Kim T; Kim TH; Youn SH; Oh ES; Jeong JH
Radiat Oncol; 2019 Nov; 14(1):213. PubMed ID: 31775825
[TBL] [Abstract][Full Text] [Related]
19. General and custom deep learning autosegmentation models for organs in head and neck, abdomen, and male pelvis.
Amjad A; Xu J; Thill D; Lawton C; Hall W; Awan MJ; Shukla M; Erickson BA; Li XA
Med Phys; 2022 Mar; 49(3):1686-1700. PubMed ID: 35094390
[TBL] [Abstract][Full Text] [Related]
20. A comparative study of auto-contouring softwares in delineation of organs at risk in lung cancer and rectal cancer.
Chen W; Wang C; Zhan W; Jia Y; Ruan F; Qiu L; Yang S; Li Y
Sci Rep; 2021 Nov; 11(1):23002. PubMed ID: 34836989
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
