These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 32602187)

  • 1. Deep convolutional neural networks for automatic segmentation of thoracic organs-at-risk in radiation oncology - use of non-domain transfer learning.
    Vu CC; Siddiqui ZA; Zamdborg L; Thompson AB; Quinn TJ; Castillo E; Guerrero TM
    J Appl Clin Med Phys; 2020 Jun; 21(6):108-113. PubMed ID: 32602187
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
    Tong N; Gou S; Yang S; Ruan D; Sheng K
    Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Accurate and robust auto-segmentation of head and neck organ-at-risks based on a novel CNN fine-tuning workflow.
    Luan S; Wu K; Wu Y; Zhu B; Wei W; Xue X
    J Appl Clin Med Phys; 2024 Jan; 25(1):e14248. PubMed ID: 38128058
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. A method of rapid quantification of patient-specific organ doses for CT using deep-learning-based multi-organ segmentation and GPU-accelerated Monte Carlo dose computing.
    Peng Z; Fang X; Yan P; Shan H; Liu T; Pei X; Wang G; Liu B; Kalra MK; Xu XG
    Med Phys; 2020 Jun; 47(6):2526-2536. PubMed ID: 32155670
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Abdomen CT multi-organ segmentation using token-based MLP-Mixer.
    Pan S; Chang CW; Wang T; Wynne J; Hu M; Lei Y; Liu T; Patel P; Roper J; Yang X
    Med Phys; 2023 May; 50(5):3027-3038. PubMed ID: 36463516
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A convolutional neural network algorithm for automatic segmentation of head and neck organs at risk using deep lifelong learning.
    Chan JW; Kearney V; Haaf S; Wu S; Bogdanov M; Reddick M; Dixit N; Sudhyadhom A; Chen J; Yom SS; Solberg TD
    Med Phys; 2019 May; 46(5):2204-2213. PubMed ID: 30887523
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improved accuracy of auto-segmentation of organs at risk in radiotherapy planning for nasopharyngeal carcinoma based on fully convolutional neural network deep learning.
    Peng Y; Liu Y; Shen G; Chen Z; Chen M; Miao J; Zhao C; Deng J; Qi Z; Deng X
    Oral Oncol; 2023 Jan; 136():106261. PubMed ID: 36446186
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Transfer learning for auto-segmentation of 17 organs-at-risk in the head and neck: Bridging the gap between institutional and public datasets.
    Clark B; Hardcastle N; Johnston LA; Korte J
    Med Phys; 2024 Jul; 51(7):4767-4777. PubMed ID: 38376454
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A new architecture combining convolutional and transformer-based networks for automatic 3D multi-organ segmentation on CT images.
    Li C; Bagher-Ebadian H; Sultan R; Elshaikh M; Movsas B; Zhu D; Chetty IJ
    Med Phys; 2023 Nov; 50(11):6990-7002. PubMed ID: 37738468
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Technical Note: More accurate and efficient segmentation of organs-at-risk in radiotherapy with convolutional neural networks cascades.
    Men K; Geng H; Cheng C; Zhong H; Huang M; Fan Y; Plastaras JP; Lin A; Xiao Y
    Med Phys; 2019 Jan; 46(1):286-292. PubMed ID: 30450825
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Artificial Intelligence Radiotherapy Planning: Automatic Segmentation of Human Organs in CT Images Based on a Modified Convolutional Neural Network.
    Shen G; Jin X; Sun C; Li Q
    Front Public Health; 2022; 10():813135. PubMed ID: 35493368
    [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. 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]  

  • 20. Fully automated multiorgan segmentation of female pelvic magnetic resonance images with coarse-to-fine convolutional neural network.
    Zabihollahy F; Viswanathan AN; Schmidt EJ; Morcos M; Lee J
    Med Phys; 2021 Nov; 48(11):7028-7042. PubMed ID: 34609756
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.