BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

739 related articles for article (PubMed ID: 34508895)

  • 1. MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation.
    Chen G; Ru J; Zhou Y; Rekik I; Pan Z; Liu X; Lin Y; Lu B; Shi J
    Neuroimage; 2021 Dec; 244():118568. PubMed ID: 34508895
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Voxel-wise adversarial semi-supervised learning for medical image segmentation.
    Lee CE; Park H; Shin YG; Chung M
    Comput Biol Med; 2022 Nov; 150():106152. PubMed ID: 36208595
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Consistency and adversarial semi-supervised learning for medical image segmentation.
    Tang Y; Wang S; Qu Y; Cui Z; Zhang W
    Comput Biol Med; 2023 Jul; 161():107018. PubMed ID: 37216776
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Efficient Combination of CNN and Transformer for Dual-Teacher Uncertainty-guided Semi-supervised Medical Image Segmentation.
    Xiao Z; Su Y; Deng Z; Zhang W
    Comput Methods Programs Biomed; 2022 Nov; 226():107099. PubMed ID: 36116398
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Semi-TMS: an efficient regularization-oriented triple-teacher semi-supervised medical image segmentation model.
    Chen W; Zhou S; Liu X; Chen Y
    Phys Med Biol; 2023 Oct; 68(20):. PubMed ID: 37699409
    [No Abstract]   [Full Text] [Related]  

  • 6. Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images.
    Gao F; Hu M; Zhong ME; Feng S; Tian X; Meng X; Ni-Jia-Ti MY; Huang Z; Lv M; Song T; Zhang X; Zou X; Wu X
    Med Image Anal; 2022 Aug; 80():102515. PubMed ID: 35780593
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-Modal Brain Tumor Data Completion Based on Reconstruction Consistency Loss.
    Jiang Y; Zhang S; Chi J
    J Digit Imaging; 2023 Aug; 36(4):1794-1807. PubMed ID: 36856903
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. PolypMixNet: Enhancing semi-supervised polyp segmentation with polyp-aware augmentation.
    Jia X; Shen Y; Yang J; Song R; Zhang W; Meng MQ; Liao JC; Xing L
    Comput Biol Med; 2024 Mar; 170():108006. PubMed ID: 38325216
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.
    Enguehard J; O'Halloran P; Gholipour A
    IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data.
    Xu Z; Lu D; Luo J; Zheng Y; Tong RK
    Med Image Anal; 2024 Apr; 93():103095. PubMed ID: 38310678
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Feature-enhanced adversarial semi-supervised semantic segmentation network for pulmonary embolism annotation.
    Cheng TW; Chua YW; Huang CC; Chang J; Kuo C; Cheng YC
    Heliyon; 2023 May; 9(5):e16060. PubMed ID: 37215788
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network.
    Han L; Huang Y; Dou H; Wang S; Ahamad S; Luo H; Liu Q; Fan J; Zhang J
    Comput Methods Programs Biomed; 2020 Jun; 189():105275. PubMed ID: 31978805
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning.
    Wang K; Zhan B; Zu C; Wu X; Zhou J; Zhou L; Wang Y
    Med Image Anal; 2022 Jul; 79():102447. PubMed ID: 35509136
    [TBL] [Abstract][Full Text] [Related]  

  • 16. RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields.
    Chen G; Li Q; Shi F; Rekik I; Pan Z
    Neuroimage; 2020 May; 211():116620. PubMed ID: 32057997
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Bilateral Supervision Network for Semi-Supervised Medical Image Segmentation.
    He A; Li T; Yan J; Wang K; Fu H
    IEEE Trans Med Imaging; 2024 May; 43(5):1715-1726. PubMed ID: 38153819
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Semi-Supervised Segmentation Framework for Gastrointestinal Lesion Diagnosis in Endoscopic Images.
    Lonseko ZM; Du W; Adjei PE; Luo C; Hu D; Gan T; Zhu L; Rao N
    J Pers Med; 2023 Jan; 13(1):. PubMed ID: 36675779
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation.
    Zhang Y; Jiao R; Liao Q; Li D; Zhang J
    Artif Intell Med; 2023 Apr; 138():102476. PubMed ID: 36990583
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 37.