BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

101 related articles for article (PubMed ID: 35993462)

  • 21. Lung Lesion Localization of COVID-19 From Chest CT Image: A Novel Weakly Supervised Learning Method.
    Yang Z; Zhao L; Wu S; Chen CY
    IEEE J Biomed Health Inform; 2021 Jun; 25(6):1864-1872. PubMed ID: 33739926
    [TBL] [Abstract][Full Text] [Related]  

  • 22. SAC-Net: Learning with weak and noisy labels in histopathology image segmentation.
    Guo R; Xie K; Pagnucco M; Song Y
    Med Image Anal; 2023 May; 86():102790. PubMed ID: 36878159
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Weakly-supervised convolutional neural networks of renal tumor segmentation in abdominal CTA images.
    Yang G; Wang C; Yang J; Chen Y; Tang L; Shao P; Dillenseger JL; Shu H; Luo L
    BMC Med Imaging; 2020 Apr; 20(1):37. PubMed ID: 32293303
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Improving Splenomegaly Segmentation by Learning from Heterogeneous Multi-Source Labels.
    Tang Y; Huo Y; Xiong Y; Moon H; Assad A; Moyo TK; Savona MR; Abramson R; Landman BA
    Proc SPIE Int Soc Opt Eng; 2019 Feb; 10949():. PubMed ID: 31762532
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Classification of myocardial fibrosis in DE-MRI based on semi-supervised semantic segmentation and dual attention mechanism.
    Ding Y; Xie W; Wong KKL; Liao Z
    Comput Methods Programs Biomed; 2022 Oct; 225():107041. PubMed ID: 35994871
    [TBL] [Abstract][Full Text] [Related]  

  • 26. An efficient brain tumor image classifier by combining multi-pathway cascaded deep neural network and handcrafted features in MR images.
    Bal A; Banerjee M; Chaki R; Sharma P
    Med Biol Eng Comput; 2021 Aug; 59(7-8):1495-1527. PubMed ID: 34184181
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision.
    Lee HH; Tang Y; Tang O; Xu Y; Chen Y; Gao D; Han S; Gao R; Savona MR; Abramson RG; Huo Y; Landman BA
    Proc SPIE Int Soc Opt Eng; 2020; 11313():. PubMed ID: 34040279
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Activation extending based on long-range dependencies for weakly supervised semantic segmentation.
    Liu H; Zhao Y; Wang M; Ma M; Chen Z
    PLoS One; 2023; 18(11):e0288596. PubMed ID: 37988337
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Adaptive soft erasure with edge self-attention for weakly supervised semantic segmentation: Thyroid ultrasound image case study.
    Yu M; Han M; Li X; Wei X; Jiang H; Chen H; Yu R
    Comput Biol Med; 2022 May; 144():105347. PubMed ID: 35276549
    [TBL] [Abstract][Full Text] [Related]  

  • 30. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.
    Wu W; Li D; Du J; Gao X; Gu W; Zhao F; Feng X; Yan H
    Comput Math Methods Med; 2020; 2020():6789306. PubMed ID: 32733596
    [TBL] [Abstract][Full Text] [Related]  

  • 31. TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.
    Yao Y; Wan F; Gao W; Pan X; Peng Z; Tian Q; Ye Q
    IEEE Trans Neural Netw Learn Syst; 2022 Nov; PP():. PubMed ID: 36417732
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Relax and focus on brain tumor segmentation.
    Wang P; Chung ACS
    Med Image Anal; 2022 Jan; 75():102259. PubMed ID: 34800788
    [TBL] [Abstract][Full Text] [Related]  

  • 34. MSFR-Net: Multi-modality and single-modality feature recalibration network for brain tumor segmentation.
    Li X; Jiang Y; Li M; Zhang J; Yin S; Luo H
    Med Phys; 2023 Apr; 50(4):2249-2262. PubMed ID: 35962724
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Group-Wise Learning for Weakly Supervised Semantic Segmentation.
    Zhou T; Li L; Li X; Feng CM; Li J; Shao L
    IEEE Trans Image Process; 2022; 31():799-811. PubMed ID: 34910633
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries.
    Syed S; Anderssen KE; Stormo SK; Kranz M
    Sci Rep; 2023 Feb; 13(1):2574. PubMed ID: 36781947
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network.
    Pang S; Pang C; Su Z; Lin L; Zhao L; Chen Y; Zhou Y; Lu H; Feng Q
    Med Image Anal; 2022 Jan; 75():102261. PubMed ID: 34794095
    [TBL] [Abstract][Full Text] [Related]  

  • 39. MTDCNet: A 3D multi-threading dilated convolutional network for brain tumor automatic segmentation.
    Chen W; Zhou W; Zhu L; Cao Y; Gu H; Yu B
    J Biomed Inform; 2022 Sep; 133():104173. PubMed ID: 35998815
    [TBL] [Abstract][Full Text] [Related]  

  • 40. MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling.
    He K; Lian C; Adeli E; Huo J; Gao Y; Zhang B; Zhang J; Shen D
    Med Image Anal; 2021 Jul; 71():102039. PubMed ID: 33831595
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.