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 *

126 related articles for article (PubMed ID: 31244515)

  • 1. Learning Facial Action Units from Web Images with Scalable Weakly Supervised Clustering.
    Zhao K; Chu WS; Martinez AM
    Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit; 2018 Jun; 2018():2090-2099. PubMed ID: 31244515
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Weakly Supervised Facial Action Unit Recognition With Domain Knowledge.
    Wang S; Peng G; Chen S; Ji Q
    IEEE Trans Cybern; 2018 Nov; 48(11):3265-3276. PubMed ID: 30273163
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification.
    Otálora S; Marini N; Müller H; Atzori M
    BMC Med Imaging; 2021 May; 21(1):77. PubMed ID: 33964886
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Semi-supervised training using cooperative labeling of weakly annotated data for nodule detection in chest CT.
    Maynord M; Farhangi MM; Fermüller C; Aloimonos Y; Levine G; Petrick N; Sahiner B; Pezeshk A
    Med Phys; 2023 Jul; 50(7):4255-4268. PubMed ID: 36630691
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Learning low-dose CT degradation from unpaired data with flow-based model.
    Liu X; Liang X; Deng L; Tan S; Xie Y
    Med Phys; 2022 Dec; 49(12):7516-7530. PubMed ID: 35880375
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Weakly Supervised Adversarial Learning for 3D Human Pose Estimation from Point Clouds.
    Zhang Z; Hu L; Deng X; Xia S
    IEEE Trans Vis Comput Graph; 2020 May; 26(5):1851-1859. PubMed ID: 32070974
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Weakly supervised segmentation models as explainable radiological classifiers for lung tumour detection on CT images.
    O'Shea R; Manickavasagar T; Horst C; Hughes D; Cusack J; Tsoka S; Cook G; Goh V
    Insights Imaging; 2023 Nov; 14(1):195. PubMed ID: 37980637
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
    Marini N; Otálora S; Müller H; Atzori M
    Med Image Anal; 2021 Oct; 73():102165. PubMed ID: 34303169
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dual Learning for Facial Action Unit Detection Under Nonfull Annotation.
    Wang S; Ding H; Peng G
    IEEE Trans Cybern; 2022 Apr; 52(4):2225-2237. PubMed ID: 32881700
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Weakly Supervised Learning of 3D Deep Network for Neuron Reconstruction.
    Huang Q; Chen Y; Liu S; Xu C; Cao T; Xu Y; Wang X; Rao G; Li A; Zeng S; Quan T
    Front Neuroanat; 2020; 14():38. PubMed ID: 32848636
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Contrastive Learning of Person-Independent Representations for Facial Action Unit Detection.
    Li Y; Shan S
    IEEE Trans Image Process; 2023; 32():3212-3225. PubMed ID: 37256805
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial Annotations.
    Wu H; Niyogisubizo J; Zhao K; Meng J; Xi W; Li H; Pan Y; Wei Y
    Int J Mol Sci; 2023 Nov; 24(22):. PubMed ID: 38003217
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules.
    Feng X; Yang J; Laine AF; Angelini ED
    Med Image Comput Comput Assist Interv; 2017 Sep; 10435():568-576. PubMed ID: 29308456
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Image generation by GAN and style transfer for agar plate image segmentation.
    Andreini P; Bonechi S; Bianchini M; Mecocci A; Scarselli F
    Comput Methods Programs Biomed; 2020 Feb; 184():105268. PubMed ID: 31891902
    [TBL] [Abstract][Full Text] [Related]  

  • 17. TSSK-Net: Weakly supervised biomarker localization and segmentation with image-level annotation in retinal OCT images.
    Liu X; Liu Q; Zhang Y; Wang M; Tang J
    Comput Biol Med; 2023 Feb; 153():106467. PubMed ID: 36584602
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training.
    Lin Y; Qu Z; Chen H; Gao Z; Li Y; Xia L; Ma K; Zheng Y; Cheng KT
    Med Image Anal; 2023 Oct; 89():102933. PubMed ID: 37611532
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Constrained-CNN losses for weakly supervised segmentation.
    Kervadec H; Dolz J; Tang M; Granger E; Boykov Y; Ben Ayed I
    Med Image Anal; 2019 May; 54():88-99. PubMed ID: 30851541
    [TBL] [Abstract][Full Text] [Related]  

  • 20. SS-HCNN: Semi-Supervised Hierarchical Convolutional Neural Network for Image Classification.
    Chen T; Lu S; Fan J
    IEEE Trans Image Process; 2018 Dec; ():. PubMed ID: 30571625
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.