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 *

165 related articles for article (PubMed ID: 37207524)

  • 1. 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]  

  • 2. '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]  

  • 3. 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]  

  • 4. Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation.
    Dai D; Dong C; Xu S; Yan Q; Li Z; Zhang C; Luo N
    Med Image Anal; 2022 Jan; 75():102293. PubMed ID: 34800787
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-task contrastive learning for semi-supervised medical image segmentation with multi-scale uncertainty estimation.
    Xing C; Dong H; Xi H; Ma J; Zhu J
    Phys Med Biol; 2023 Sep; 68(18):. PubMed ID: 37586383
    [No Abstract]   [Full Text] [Related]  

  • 6. LMISA: A lightweight multi-modality image segmentation network via domain adaptation using gradient magnitude and shape constraint.
    Jafari M; Francis S; Garibaldi JM; Chen X
    Med Image Anal; 2022 Oct; 81():102536. PubMed ID: 35870297
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. One-shot neuroanatomy segmentation through online data augmentation and confidence aware pseudo label.
    Zhang L; Ning G; Liang H; Han B; Liao H
    Med Image Anal; 2024 Jul; 95():103182. PubMed ID: 38688039
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A dual autoencoder and singular value decomposition based feature optimization for the segmentation of brain tumor from MRI images.
    Aswani K; Menaka D
    BMC Med Imaging; 2021 May; 21(1):82. PubMed ID: 33985449
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Attention-modulated multi-branch convolutional neural networks for neonatal brain tissue segmentation.
    Fan X; Shan S; Li X; Li J; Mi J; Yang J; Zhang Y
    Comput Biol Med; 2022 Jul; 146():105522. PubMed ID: 35525069
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
    Chaitanya K; Erdil E; Karani N; Konukoglu E
    Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.
    Liu H; Zhuang Y; Song E; Xu X; Ma G; Cetinkaya C; Hung CC
    Med Phys; 2023 Sep; 50(9):5460-5478. PubMed ID: 36864700
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Medical image segmentation using boundary-enhanced guided packet rotation dual attention decoder network.
    Lu H; Tian S; Yu L; Xing Y; Cheng J; Liu L
    Technol Health Care; 2022; 30(1):129-143. PubMed ID: 34057109
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Breast ultrasound image segmentation: A coarse-to-fine fusion convolutional neural network.
    Wang K; Liang S; Zhong S; Feng Q; Ning Z; Zhang Y
    Med Phys; 2021 Aug; 48(8):4262-4278. PubMed ID: 34053092
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Towards annotation-efficient segmentation via image-to-image translation.
    Vorontsov E; Molchanov P; Gazda M; Beckham C; Kautz J; Kadoury S
    Med Image Anal; 2022 Nov; 82():102624. PubMed ID: 36208571
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation.
    Wang Y; Zhang Y; Liu Y; Tian J; Zhong C; Shi Z; Zhang Y; He Z
    Comput Methods Programs Biomed; 2021 Apr; 202():106004. PubMed ID: 33662804
    [TBL] [Abstract][Full Text] [Related]  

  • 20. FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection.
    Abdel-Basset M; Chang V; Hawash H; Chakrabortty RK; Ryan M
    Knowl Based Syst; 2021 Jan; 212():106647. PubMed ID: 33519100
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.