BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

341 related articles for article (PubMed ID: 32404123)

  • 1. Atlas-based auto-segmentation for postoperative radiotherapy planning in endometrial and cervical cancers.
    Kim N; Chang JS; Kim YB; Kim JS
    Radiat Oncol; 2020 May; 15(1):106. PubMed ID: 32404123
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The clinical evaluation of atlas-based auto-segmentation for automatic contouring during cervical cancer radiotherapy.
    Li Y; Wu W; Sun Y; Yu D; Zhang Y; Wang L; Wang Y; Zhang X; Lu Y
    Front Oncol; 2022; 12():945053. PubMed ID: 35982960
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Auto-segmentation of low-risk clinical target volume for head and neck radiation therapy.
    Yang J; Beadle BM; Garden AS; Gunn B; Rosenthal D; Ang K; Frank S; Williamson R; Balter P; Court L; Dong L
    Pract Radiat Oncol; 2014; 4(1):e31-7. PubMed ID: 24621429
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Internal and external validation of an ESTRO delineation guideline - dependent automated segmentation tool for loco-regional radiation therapy of early breast cancer.
    Eldesoky AR; Yates ES; Nyeng TB; Thomsen MS; Nielsen HM; Poortmans P; Kirkove C; Krause M; Kamby C; Mjaaland I; Blix ES; Jensen I; Berg M; Lorenzen EL; Taheri-Kadkhoda Z; Offersen BV
    Radiother Oncol; 2016 Dec; 121(3):424-430. PubMed ID: 27697296
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Comparison of atlas-based and deep learning methods for organs at risk delineation on head-and-neck CT images using an automated treatment planning system.
    Costea M; Zlate A; Durand M; Baudier T; Grégoire V; Sarrut D; Biston MC
    Radiother Oncol; 2022 Dec; 177():61-70. PubMed ID: 36328093
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Self-configuring nnU-Net for automatic delineation of the organs at risk and target in high-dose rate cervical brachytherapy, a low/middle-income country's experience.
    Duprez D; Trauernicht C; Simonds H; Williams O
    J Appl Clin Med Phys; 2023 Aug; 24(8):e13988. PubMed ID: 37042449
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep learning-based auto-segmentation of clinical target volumes for radiotherapy treatment of cervical cancer.
    Ma CY; Zhou JY; Xu XT; Guo J; Han MF; Gao YZ; Du H; Stahl JN; Maltz JS
    J Appl Clin Med Phys; 2022 Feb; 23(2):e13470. PubMed ID: 34807501
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of auto-segmentation for EBRT planning structures using deep learning-based workflow on cervical cancer.
    Wang J; Chen Y; Xie H; Luo L; Tang Q
    Sci Rep; 2022 Aug; 12(1):13650. PubMed ID: 35953516
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic end-to-end VMAT treatment planning for rectal cancers.
    Huang K; Chung C; Ludmir EB; Zhang L; Owens CA; Vega JG; Duryea J; Zhao Y; Chen X; Fuentes D; Cardenas CE; Briere TM; Beddar S; Court LE; Das P
    J Appl Clin Med Phys; 2024 Apr; 25(4):e14259. PubMed ID: 38317597
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Clinical evaluation of atlas- and deep learning-based automatic segmentation of multiple organs and clinical target volumes for breast cancer.
    Choi MS; Choi BS; Chung SY; Kim N; Chun J; Kim YB; Chang JS; Kim JS
    Radiother Oncol; 2020 Dec; 153():139-145. PubMed ID: 32991916
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Deep learning vs. atlas-based models for fast auto-segmentation of the masticatory muscles on head and neck CT images.
    Chen W; Li Y; Dyer BA; Feng X; Rao S; Benedict SH; Chen Q; Rong Y
    Radiat Oncol; 2020 Jul; 15(1):176. PubMed ID: 32690103
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Atlas-based segmentation in breast cancer radiotherapy: Evaluation of specific and generic-purpose atlases.
    Ciardo D; Gerardi MA; Vigorito S; Morra A; Dell'acqua V; Diaz FJ; Cattani F; Zaffino P; Ricotti R; Spadea MF; Riboldi M; Orecchia R; Baroni G; Leonardi MC; Jereczek-Fossa BA
    Breast; 2017 Apr; 32():44-52. PubMed ID: 28033509
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Augmenting atlas-based liver segmentation for radiotherapy treatment planning by incorporating image features proximal to the atlas contours.
    Li D; Liu L; Chen J; Li H; Yin Y; Ibragimov B; Xing L
    Phys Med Biol; 2017 Jan; 62(1):272-288. PubMed ID: 27991439
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 18.