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 *

255 related articles for article (PubMed ID: 33606628)

  • 1. Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation.
    Feng R; Zheng X; Gao T; Chen J; Wang W; Chen DZ; Wu J
    IEEE Trans Med Imaging; 2021 Oct; 40(10):2575-2588. PubMed ID: 33606628
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Weakly-Interactive-Mixed Learning: Less Labelling Cost for Better Medical Image Segmentation.
    Nie X; Liu L; He L; Zhao L; Lu H; Lou S; Xiong R; Wang Y
    IEEE J Biomed Health Inform; 2023 Jul; 27(7):3270-3281. PubMed ID: 37071523
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Few-Shot Learning for Medical Image Segmentation Using 3D U-Net and Model-Agnostic Meta-Learning (MAML).
    Alsaleh AM; Albalawi E; Algosaibi A; Albakheet SS; Khan SB
    Diagnostics (Basel); 2024 Jun; 14(12):. PubMed ID: 38928629
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 'Squeeze & excite' guided few-shot segmentation of volumetric images.
    Guha Roy A; Siddiqui S; Pölsterl S; Navab N; Wachinger C
    Med Image Anal; 2020 Jan; 59():101587. PubMed ID: 31630012
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [A meta-learning based method for segmentation of few-shot magnetic resonance images].
    Chen X; Fu Z; Yao Y
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Apr; 40(2):193-201. PubMed ID: 37139748
    [TBL] [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. Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels.
    Hansen S; Gautam S; Jenssen R; Kampffmeyer M
    Med Image Anal; 2022 May; 78():102385. PubMed ID: 35272250
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Meta-learning with implicit gradients in a few-shot setting for medical image segmentation.
    Khadka R; Jha D; Hicks S; Thambawita V; Riegler MA; Ali S; Halvorsen P
    Comput Biol Med; 2022 Apr; 143():105227. PubMed ID: 35124439
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Domain Adaptation for Medical Image Segmentation: A Meta-Learning Method.
    Zhang P; Li J; Wang Y; Pan J
    J Imaging; 2021 Feb; 7(2):. PubMed ID: 34460630
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Which images to label for few-shot medical image analysis?
    Quan Q; Yao Q; Zhu H; Wang Q; Zhou SK
    Med Image Anal; 2024 Aug; 96():103200. PubMed ID: 38801797
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Interactive Echocardiography Translation Using Few-Shot GAN Transfer Learning.
    Teng L; Fu Z; Ma Q; Yao Y; Zhang B; Zhu K; Li P
    Comput Math Methods Med; 2020; 2020():1487035. PubMed ID: 32256680
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A transfer learning approach to few-shot segmentation of novel white matter tracts.
    Lu Q; Liu W; Zhuo Z; Li Y; Duan Y; Yu P; Qu L; Ye C; Liu Y
    Med Image Anal; 2022 Jul; 79():102454. PubMed ID: 35468555
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Self-Supervised Learning for Few-Shot Medical Image Segmentation.
    Ouyang C; Biffi C; Chen C; Kart T; Qiu H; Rueckert D
    IEEE Trans Med Imaging; 2022 Jul; 41(7):1837-1848. PubMed ID: 35139014
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Few-Shot Learning-Based Retinal Vessel Segmentation Method for Assisting in the Central Serous Chorioretinopathy Laser Surgery.
    Xu J; Shen J; Wan C; Jiang Q; Yan Z; Yang W
    Front Med (Lausanne); 2022; 9():821565. PubMed ID: 35308538
    [TBL] [Abstract][Full Text] [Related]  

  • 16. PFMNet: Prototype-based feature mapping network for few-shot domain adaptation in medical image segmentation.
    Wang R; Zheng G
    Comput Med Imaging Graph; 2024 Sep; 116():102406. PubMed ID: 38824715
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Interactive segmentation of medical images using deep learning.
    Zhao X; Pan H; Bai W; Li B; Wang H; Zhang M; Li Y; Zhang D; Geng H; Chen M
    Phys Med Biol; 2024 Feb; 69(4):. PubMed ID: 38198729
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Self-mentoring: A new deep learning pipeline to train a self-supervised U-net for few-shot learning of bio-artificial capsule segmentation.
    Deleruyelle A; Versari C; Klein J
    Comput Biol Med; 2023 Jan; 152():106454. PubMed ID: 36566624
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fast interactive medical image segmentation with weakly supervised deep learning method.
    Girum KB; Créhange G; Hussain R; Lalande A
    Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1437-1444. PubMed ID: 32653985
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Learning what and where to segment: A new perspective on medical image few-shot segmentation.
    Feng Y; Wang Y; Li H; Qu M; Yang J
    Med Image Anal; 2023 Jul; 87():102834. PubMed ID: 37207524
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.