BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

225 related articles for article (PubMed ID: 37597126)

  • 1. Clinical evaluation of deep learning-based automatic clinical target volume segmentation: a single-institution multi-site tumor experience.
    Hou Z; Gao S; Liu J; Yin Y; Zhang L; Han Y; Yan J; Li S
    Radiol Med; 2023 Oct; 128(10):1250-1261. PubMed ID: 37597126
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Extensive clinical testing of Deep Learning Segmentation models for thorax and breast cancer radiotherapy planning.
    Mikalsen SG; Skjøtskift T; Flote VG; Hämäläinen NP; Heydari M; Rydén-Eilertsen K
    Acta Oncol; 2023 Oct; 62(10):1184-1193. PubMed ID: 37883678
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development and validation of a deep learning algorithm for auto-delineation of clinical target volume and organs at risk in cervical cancer radiotherapy.
    Liu Z; Liu X; Guan H; Zhen H; Sun Y; Chen Q; Chen Y; Wang S; Qiu J
    Radiother Oncol; 2020 Dec; 153():172-179. PubMed ID: 33039424
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic clinical target volume delineation for cervical cancer in CT images using deep learning.
    Shi J; Ding X; Liu X; Li Y; Liang W; Wu J
    Med Phys; 2021 Jul; 48(7):3968-3981. PubMed ID: 33905545
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. Fully automatic and robust segmentation of the clinical target volume for radiotherapy of breast cancer using big data and deep learning.
    Men K; Zhang T; Chen X; Chen B; Tang Y; Wang S; Li Y; Dai J
    Phys Med; 2018 Jun; 50():13-19. PubMed ID: 29891089
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Prior information guided auto-segmentation of clinical target volume of tumor bed in postoperative breast cancer radiotherapy.
    Xie X; Song Y; Ye F; Wang S; Yan H; Zhao X; Dai J
    Radiat Oncol; 2023 Oct; 18(1):170. PubMed ID: 37840132
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. First Report On Physician Assessment and Clinical Acceptability of Custom-Retrained Artificial Intelligence Models for Clinical Target Volume and Organs-at-Risk Auto-Delineation for Postprostatectomy Patients.
    Hobbis D; Yu NY; Mund KW; Duan J; Rwigema JM; Wong WW; Schild SE; Keole SR; Feng X; Chen Q; Vargas CE; Rong Y
    Pract Radiat Oncol; 2023; 13(4):351-362. PubMed ID: 37030538
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A dual deep neural network for auto-delineation in cervical cancer radiotherapy with clinical validation.
    Nie S; Wei Y; Zhao F; Dong Y; Chen Y; Li Q; Du W; Li X; Yang X; Li Z
    Radiat Oncol; 2022 Nov; 17(1):182. PubMed ID: 36380378
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.
    Balagopal A; Nguyen D; Morgan H; Weng Y; Dohopolski M; Lin MH; Barkousaraie AS; Gonzalez Y; Garant A; Desai N; Hannan R; Jiang S
    Med Image Anal; 2021 Aug; 72():102101. PubMed ID: 34111573
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 12.