BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 38189528)

  • 1. Few-shot segmentation framework for lung nodules via an optimized active contour model.
    Yang L; Shao D; Huang Z; Geng M; Zhang N; Chen L; Wang X; Liang D; Pang ZF; Hu Z
    Med Phys; 2024 Apr; 51(4):2788-2805. PubMed ID: 38189528
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Robust explanation supervision for false positive reduction in pulmonary nodule detection.
    Zhao Q; Chang CW; Yang X; Zhao L
    Med Phys; 2024 Mar; 51(3):1687-1701. PubMed ID: 38224306
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A deep learning-based framework (Co-ReTr) for auto-segmentation of non-small cell-lung cancer in computed tomography images.
    Kunkyab T; Bahrami Z; Zhang H; Liu Z; Hyde D
    J Appl Clin Med Phys; 2024 Mar; 25(3):e14297. PubMed ID: 38373289
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Segmentation of lung nodules based on a refined segmentation network.
    Chen Y; Hou X; Yang Y; Zhou Y; Xie Y; Nie S
    Med Phys; 2024 Apr; 51(4):2759-2771. PubMed ID: 38108587
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Dual-Branch Framework With Prior Knowledge for Precise Segmentation of Lung Nodules in Challenging CT Scans.
    Jiang W; Zhi L; Zhang S; Zhou T
    IEEE J Biomed Health Inform; 2024 Mar; 28(3):1540-1551. PubMed ID: 38227405
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A quality assurance framework for routine monitoring of deep learning cardiac substructure computed tomography segmentation models in radiotherapy.
    Jin X; Hao Y; Hilliard J; Zhang Z; Thomas MA; Li H; Jha AK; Hugo GD
    Med Phys; 2024 Apr; 51(4):2741-2758. PubMed ID: 38015793
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Sparse deep belief network coupled with extended local fuzzy active contour model-based liver cancer segmentation from abdomen CT images.
    Dickson AJ; Linsely JA; Daniel VAA; Rahul K
    Med Biol Eng Comput; 2024 May; 62(5):1361-1374. PubMed ID: 38189903
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images.
    Zhuang M; Chen Z; Wang H; Tang H; He J; Qin B; Yang Y; Jin X; Yu M; Jin B; Li T; Kettunen L
    Int J Comput Assist Radiol Surg; 2023 Feb; 18(2):379-394. PubMed ID: 36048319
    [TBL] [Abstract][Full Text] [Related]  

  • 10. SK-Unet++: An improved Unet++ network with adaptive receptive fields for automatic segmentation of ultrasound thyroid nodule images.
    Dai H; Xie W; Xia E
    Med Phys; 2024 Mar; 51(3):1798-1811. PubMed ID: 37606374
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The effect of the re-segmentation method on improving the performance of rectal cancer image segmentation models.
    Lei J; Huang Y; Chen Y; Xia L; Yi B
    Technol Health Care; 2024; 32(3):1629-1640. PubMed ID: 38517809
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic detection of lung nodules in CT datasets based on stable 3D mass-spring models.
    Cascio D; Magro R; Fauci F; Iacomi M; Raso G
    Comput Biol Med; 2012 Nov; 42(11):1098-109. PubMed ID: 23020972
    [TBL] [Abstract][Full Text] [Related]  

  • 13. CylinGCN: Cylindrical structures segmentation in 3D biomedical optical imaging by a contour-based graph convolutional network.
    Liang Z; Zhang S; Wei A; Liu Z; Wang Y; Hu H; Chen W; Qi L
    Comput Med Imaging Graph; 2024 Jan; 111():102316. PubMed ID: 38039866
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Contour-Based Wild Animal Instance Segmentation Using a Few-Shot Detector.
    Tang J; Zhao Y; Feng L; Zhao W
    Animals (Basel); 2022 Aug; 12(15):. PubMed ID: 35953969
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours.
    Way TW; Hadjiiski LM; Sahiner B; Chan HP; Cascade PN; Kazerooni EA; Bogot N; Zhou C
    Med Phys; 2006 Jul; 33(7):2323-37. PubMed ID: 16898434
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.
    Wang Y; Zhou C; Chan HP; Hadjiiski LM; Chughtai A; Kazerooni EA
    Med Phys; 2022 Nov; 49(11):7287-7302. PubMed ID: 35717560
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automatic Lung Segmentation With Juxta-Pleural Nodule Identification Using Active Contour Model and Bayesian Approach.
    Chung H; Ko H; Jeon SJ; Yoon KH; Lee J
    IEEE J Transl Eng Health Med; 2018; 6():1800513. PubMed ID: 29910995
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Segmentation of lung lesions on CT scans using watershed, active contours, and Markov random field.
    Tan Y; Schwartz LH; Zhao B
    Med Phys; 2013 Apr; 40(4):043502. PubMed ID: 23556926
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Three-stage segmentation of lung region from CT images using deep neural networks.
    Osadebey M; Andersen HK; Waaler D; Fossaa K; Martinsen ACT; Pedersen M
    BMC Med Imaging; 2021 Jul; 21(1):112. PubMed ID: 34266391
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation.
    Wang S; Zhou M; Liu Z; Liu Z; Gu D; Zang Y; Dong D; Gevaert O; Tian J
    Med Image Anal; 2017 Aug; 40():172-183. PubMed ID: 28688283
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.