BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 33274122)

  • 1. An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training.
    Zheng H; Zhang Y; Yang L; Wang C; Chen DZ
    Proc AAAI Conf Artif Intell; 2020 Feb; 34(44):6925-6932. PubMed ID: 33274122
    [TBL] [Abstract][Full Text] [Related]  

  • 2. KCB-Net: A 3D knee cartilage and bone segmentation network via sparse annotation.
    Peng Y; Zheng H; Liang P; Zhang L; Zaman F; Wu X; Sonka M; Chen DZ
    Med Image Anal; 2022 Nov; 82():102574. PubMed ID: 36126403
    [TBL] [Abstract][Full Text] [Related]  

  • 3. CMC-Net: 3D calf muscle compartment segmentation with sparse annotation.
    Peng Y; Zheng H; Zhang L; Sonka M; Chen DZ
    Med Image Anal; 2022 Jul; 79():102460. PubMed ID: 35598519
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Reducing annotation burden in MR: A novel MR-contrast guided contrastive learning approach for image segmentation.
    Umapathy L; Brown T; Mushtaq R; Greenhill M; Lu J; Martin D; Altbach M; Bilgin A
    Med Phys; 2024 Apr; 51(4):2707-2720. PubMed ID: 37956263
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Light mixed-supervised segmentation for 3D medical image data.
    Yang H; Tan T; Tegzes P; Dong X; Tamada R; Ferenczi L; Avinash G
    Med Phys; 2024 Jan; 51(1):167-178. PubMed ID: 37909833
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Sparse annotation learning for dense volumetric MR image segmentation with uncertainty estimation.
    Osman YBM; Li C; Huang W; Wang S
    Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38035374
    [No Abstract]   [Full Text] [Related]  

  • 7. HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation.
    Li X; Xia M; Jiao J; Zhou S; Chang C; Wang Y; Guo Y
    Med Image Anal; 2023 Aug; 88():102862. PubMed ID: 37295312
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 3D Image Segmentation With Sparse Annotation by Self-Training and Internal Registration.
    Bitarafan A; Nikdan M; Baghshah MS
    IEEE J Biomed Health Inform; 2021 Jul; 25(7):2665-2672. PubMed ID: 33211667
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Annotation-efficient training of medical image segmentation network based on scribble guidance in difficult areas.
    Zhuang M; Chen Z; Yang Y; Kettunen L; Wang H
    Int J Comput Assist Radiol Surg; 2024 Jan; 19(1):87-96. PubMed ID: 37233894
    [TBL] [Abstract][Full Text] [Related]  

  • 10. PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation.
    Wang G; Luo X; Gu R; Yang S; Qu Y; Zhai S; Zhao Q; Li K; Zhang S
    Comput Methods Programs Biomed; 2023 Apr; 231():107398. PubMed ID: 36773591
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation.
    Dang VN; Galati F; Cortese R; Di Giacomo G; Marconetto V; Mathur P; Lekadir K; Lorenzi M; Prados F; Zuluaga MA
    Med Image Anal; 2022 Jan; 75():102263. PubMed ID: 34731770
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Suggestive annotation of brain MR images with gradient-guided sampling.
    Dai C; Wang S; Mo Y; Angelini E; Guo Y; Bai W
    Med Image Anal; 2022 Apr; 77():102373. PubMed ID: 35134636
    [TBL] [Abstract][Full Text] [Related]  

  • 13. COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training.
    Liu H; Xu Z; Gao R; Li H; Wang J; Chabin G; Oguz I; Grbic S
    IEEE Trans Med Imaging; 2024 May; 43(5):1995-2009. PubMed ID: 38224508
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images.
    Liu Y; He Q; Duan H; Shi H; Han A; He Y
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015814
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Robustness study of noisy annotation in deep learning based medical image segmentation.
    Yu S; Chen M; Zhang E; Wu J; Yu H; Yang Z; Ma L; Gu X; Lu W
    Phys Med Biol; 2020 Aug; 65(17):175007. PubMed ID: 32503027
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Label cleaning and propagation for improved segmentation performance using fully convolutional networks.
    Sugino T; Suzuki Y; Kin T; Saito N; Onogi S; Kawase T; Mori K; Nakajima Y
    Int J Comput Assist Radiol Surg; 2021 Mar; 16(3):349-361. PubMed ID: 33655468
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.
    Qu H; Wu P; Huang Q; Yi J; Yan Z; Li K; Riedlinger GM; De S; Zhang S; Metaxas DN
    IEEE Trans Med Imaging; 2020 Nov; 39(11):3655-3666. PubMed ID: 32746112
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method.
    Zhou X; Takayama R; Wang S; Hara T; Fujita H
    Med Phys; 2017 Oct; 44(10):5221-5233. PubMed ID: 28730602
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Model-data-driven adversarial active learning for brain tumor segmentation.
    Ma S; Mathur P; Ju Z; Lawlor A; Dong R
    Comput Biol Med; 2024 Jun; 176():108585. PubMed ID: 38761499
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.