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 *

95 related articles for article (PubMed ID: 38083020)

  • 1. Narrow-band loss - a novel loss function focused on target boundary.
    Zhou Z; Cai L; Yin P; Qian X; Dai Y; Zhou Z
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083020
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Narrow Band Active Contour Attention Model for Medical Segmentation.
    Le N; Bui T; Vo-Ho VK; Yamazaki K; Luu K
    Diagnostics (Basel); 2021 Jul; 11(8):. PubMed ID: 34441327
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Automatic liver segmentation by integrating fully convolutional networks into active contour models.
    Guo X; Schwartz LH; Zhao B
    Med Phys; 2019 Oct; 46(10):4455-4469. PubMed ID: 31356688
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An effective deep network for automatic segmentation of complex lung tumors in CT images.
    Wang B; Chen K; Tian X; Yang Y; Zhang X
    Med Phys; 2021 Sep; 48(9):5004-5016. PubMed ID: 34224147
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Self-paced DenseNet with boundary constraint for automated multi-organ segmentation on abdominal CT images.
    Tong N; Gou S; Niu T; Yang S; Sheng K
    Phys Med Biol; 2020 Jul; 65(13):135011. PubMed ID: 32657281
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic Organ Segmentation for CT Scans Based on Super-Pixel and Convolutional Neural Networks.
    Liu X; Guo S; Yang B; Ma S; Zhang H; Li J; Sun C; Jin L; Li X; Yang Q; Fu Y
    J Digit Imaging; 2018 Oct; 31(5):748-760. PubMed ID: 29679242
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fast level-set based image segmentation using coherent propagation.
    Wang C; Frimmel H; Smedby Ö
    Med Phys; 2014 Jul; 41(7):073501. PubMed ID: 24989415
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Pulmonary nodule segmentation with CT sample synthesis using adversarial networks.
    Qin Y; Zheng H; Huang X; Yang J; Zhu YM
    Med Phys; 2019 Mar; 46(3):1218-1229. PubMed ID: 30575046
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Cardiac segmentation on CT Images through shape-aware contour attentions.
    Park S; Chung M
    Comput Biol Med; 2022 Aug; 147():105782. PubMed ID: 35772330
    [TBL] [Abstract][Full Text] [Related]  

  • 11. WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image.
    Luo X; Liao W; Xiao J; Chen J; Song T; Zhang X; Li K; Metaxas DN; Wang G; Zhang S
    Med Image Anal; 2022 Nov; 82():102642. PubMed ID: 36223682
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-Dimensional Cascaded Net with Uncertain Probability Reduction for Abdominal Multi-Organ Segmentation in CT Sequences.
    Li C; Mao Y; Guo Y; Li J; Wang Y
    Comput Methods Programs Biomed; 2022 Jun; 221():106887. PubMed ID: 35597204
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Dynamic boundary-insensitive loss for magnetic resonance medical image segmentation.
    Qiu M; Zhang C; Song Z
    Med Phys; 2022 Mar; 49(3):1739-1753. PubMed ID: 34847619
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Kidney segmentation in CT sequences using graph cuts based active contours model and contextual continuity.
    Zhang P; Liang Y; Chang S; Fan H
    Med Phys; 2013 Aug; 40(8):081905. PubMed ID: 23927319
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Medical lesion segmentation by combining multimodal images with modality weighted UNet.
    Zhu X; Wu Y; Hu H; Zhuang X; Yao J; Ou D; Li W; Song M; Feng N; Xu D
    Med Phys; 2022 Jun; 49(6):3692-3704. PubMed ID: 35312077
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel adaptive cubic quasi-Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup.
    Liu Y; Zhang M; Zhong Z; Zeng X
    Med Phys; 2023 Mar; 50(3):1528-1538. PubMed ID: 36057788
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.
    Xie L; Yu Q; Zhou Y; Wang Y; Fishman EK; Yuille AL
    IEEE Trans Med Imaging; 2020 Feb; 39(2):514-525. PubMed ID: 31352338
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Auto-segmentation of normal and target structures in head and neck CT images: a feature-driven model-based approach.
    Qazi AA; Pekar V; Kim J; Xie J; Breen SL; Jaffray DA
    Med Phys; 2011 Nov; 38(11):6160-70. PubMed ID: 22047381
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Effective integration of object boundaries and regions for improving the performance of medical image segmentation by using two cascaded networks.
    Guo W; Zhang G; Gong Z; Li Q
    Comput Methods Programs Biomed; 2021 Nov; 212():106423. PubMed ID: 34673377
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.