BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

254 related articles for article (PubMed ID: 27147367)

  • 1. Interactive contour delineation of organs at risk in radiotherapy: Clinical evaluation on NSCLC patients.
    Dolz J; Kirişli HA; Fechter T; Karnitzki S; Oehlke O; Nestle U; Vermandel M; Massoptier L
    Med Phys; 2016 May; 43(5):2569. PubMed ID: 27147367
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Automatic multiorgan segmentation in thorax CT images using U-net-GAN.
    Dong X; Lei Y; Wang T; Thomas M; Tang L; Curran WJ; Liu T; Yang X
    Med Phys; 2019 May; 46(5):2157-2168. PubMed ID: 30810231
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017.
    Yang J; Veeraraghavan H; Armato SG; Farahani K; Kirby JS; Kalpathy-Kramer J; van Elmpt W; Dekker A; Han X; Feng X; Aljabar P; Oliveira B; van der Heyden B; Zamdborg L; Lam D; Gooding M; Sharp GC
    Med Phys; 2018 Oct; 45(10):4568-4581. PubMed ID: 30144101
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep convolutional neural network for segmentation of thoracic organs-at-risk using cropped 3D images.
    Feng X; Qing K; Tustison NJ; Meyer CH; Chen Q
    Med Phys; 2019 May; 46(5):2169-2180. PubMed ID: 30830685
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic image segmentation based on synthetic tissue model for delineating organs at risk in spinal metastasis treatment planning.
    Wittenstein O; Hiepe P; Sowa LH; Karsten E; Fandrich I; Dunst J
    Strahlenther Onkol; 2019 Dec; 195(12):1094-1103. PubMed ID: 31037351
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Segmentation of organs-at-risk in cervical cancer CT images with a convolutional neural network.
    Liu Z; Liu X; Xiao B; Wang S; Miao Z; Sun Y; Zhang F
    Phys Med; 2020 Jan; 69():184-191. PubMed ID: 31918371
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Impact of target volume segmentation accuracy and variability on treatment planning for 4D-CT-based non-small cell lung cancer radiotherapy.
    Martin S; Johnson C; Brophy M; Palma DA; Barron JL; Beauchemin SS; Louie AV; Yu E; Yaremko B; Ahmad B; Rodrigues GB; Gaede S
    Acta Oncol; 2015 Mar; 54(3):322-32. PubMed ID: 25350526
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Not Available].
    Zhang L; Liu Z; Zhang L; Wu Z; Yu X; Holmes J; Feng H; Dai H; Li X; Li Q; Wong WW; Vora SA; Zhu D; Liu T; Liu W
    Med Phys; 2024 Mar; 51(3):2187-2199. PubMed ID: 38319676
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. A proposed framework for consensus-based lung tumour volume auto-segmentation in 4D computed tomography imaging.
    Martin S; Brophy M; Palma D; Louie AV; Yu E; Yaremko B; Ahmad B; Barron JL; Beauchemin SS; Rodrigues G; Gaede S
    Phys Med Biol; 2015 Feb; 60(4):1497-518. PubMed ID: 25611494
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks.
    Men K; Dai J; Li Y
    Med Phys; 2017 Dec; 44(12):6377-6389. PubMed ID: 28963779
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic segmentation of anatomical structures from CT scans of thorax for RTP.
    Özsavaş EE; Telatar Z; Dirican B; Sağer Ö; Beyzadeoğlu M
    Comput Math Methods Med; 2014; 2014():472890. PubMed ID: 25587349
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deformable image registration based automatic CT-to-CT contour propagation for head and neck adaptive radiotherapy in the routine clinical setting.
    Kumarasiri A; Siddiqui F; Liu C; Yechieli R; Shah M; Pradhan D; Zhong H; Chetty IJ; Kim J
    Med Phys; 2014 Dec; 41(12):121712. PubMed ID: 25471959
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison between atlas and convolutional neural network based automatic segmentation of multiple organs at risk in non-small cell lung cancer.
    Zhang T; Yang Y; Wang J; Men K; Wang X; Deng L; Bi N
    Medicine (Baltimore); 2020 Aug; 99(34):e21800. PubMed ID: 32846816
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparison of the automatic segmentation of multiple organs at risk in CT images of lung cancer between deep convolutional neural network-based and atlas-based techniques.
    Zhu J; Zhang J; Qiu B; Liu Y; Liu X; Chen L
    Acta Oncol; 2019 Feb; 58(2):257-264. PubMed ID: 30398090
    [TBL] [Abstract][Full Text] [Related]  

  • 17. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
    Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
    Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
    [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. Delineation of clinical target volume and organs at risk in cervical cancer radiotherapy by deep learning networks.
    Tian M; Wang H; Liu X; Ye Y; Ouyang G; Shen Y; Li Z; Wang X; Wu S
    Med Phys; 2023 Oct; 50(10):6354-6365. PubMed ID: 37246619
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Interactive semiautomatic contour delineation using statistical conditional random fields framework.
    Hu YC; Grossberg MD; Wu A; Riaz N; Perez C; Mageras GS
    Med Phys; 2012 Jul; 39(7):4547-58. PubMed ID: 22830786
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.