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 *

149 related articles for article (PubMed ID: 37247451)

  • 1. Self-supervised clustering analysis of colorectal cancer biomarkers based on multi-scale whole slides image and mass spectrometry imaging fused images.
    Li Z; Sun Y; An F; Chen H; Liao J
    Talanta; 2023 Oct; 263():124727. PubMed ID: 37247451
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Self-supervised clustering of mass spectrometry imaging data using contrastive learning.
    Hu H; Bindu JP; Laskin J
    Chem Sci; 2021 Dec; 13(1):90-98. PubMed ID: 35059155
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Application of clustering strategy for automatic segmentation of tissue regions in mass spectrometry imaging.
    Xu G; Gan S; Guo B; Yang L
    Rapid Commun Mass Spectrom; 2024 Apr; 38(8):e9717. PubMed ID: 38389435
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 2D and 3D MALDI-imaging: conceptual strategies for visualization and data mining.
    Thiele H; Heldmann S; Trede D; Strehlow J; Wirtz S; Dreher W; Berger J; Oetjen J; Kobarg JH; Fischer B; Maass P
    Biochim Biophys Acta; 2014 Jan; 1844(1 Pt A):117-37. PubMed ID: 23467008
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Towards enhanced metabolomic data analysis of mass spectrometry image: Multivariate Curve Resolution and Machine Learning.
    Tian X; Zhang G; Shao Y; Yang Z
    Anal Chim Acta; 2018 Dec; 1037():211-219. PubMed ID: 30292295
    [TBL] [Abstract][Full Text] [Related]  

  • 6. DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer.
    Schirris Y; Gavves E; Nederlof I; Horlings HM; Teuwen J
    Med Image Anal; 2022 Jul; 79():102464. PubMed ID: 35596966
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis.
    Yan J; Chen H; Li X; Yao J
    Comput Med Imaging Graph; 2022 Apr; 97():102053. PubMed ID: 35306442
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.
    Wang X; Chen H; Gan C; Lin H; Dou Q; Tsougenis E; Huang Q; Cai M; Heng PA
    IEEE Trans Cybern; 2020 Sep; 50(9):3950-3962. PubMed ID: 31484154
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Feasibility of deep learning-based fully automated classification of microsatellite instability in tissue slides of colorectal cancer.
    Lee SH; Song IH; Jang HJ
    Int J Cancer; 2021 Aug; 149(3):728-740. PubMed ID: 33851412
    [TBL] [Abstract][Full Text] [Related]  

  • 10. RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval.
    Wang X; Du Y; Yang S; Zhang J; Wang M; Zhang J; Yang W; Huang J; Han X
    Med Image Anal; 2023 Jan; 83():102645. PubMed ID: 36270093
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improving Classification of Breast Cancer by Utilizing the Image Pyramids of Whole-Slide Imaging and Multi-Scale Convolutional Neural Networks.
    Tong L; Sha Y; Wang MD
    Proc COMPSAC; 2019 Jul; 2019():696-703. PubMed ID: 32558827
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Analysis of WSI Images by Hybrid Systems with Fusion Features for Early Diagnosis of Cervical Cancer.
    Hamdi M; Senan EM; Awaji B; Olayah F; Jadhav ME; Alalayah KM
    Diagnostics (Basel); 2023 Jul; 13(15):. PubMed ID: 37568901
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Generating region proposals for histopathological whole slide image retrieval.
    Ma Y; Jiang Z; Zhang H; Xie F; Zheng Y; Shi H; Zhao Y; Shi J
    Comput Methods Programs Biomed; 2018 Jun; 159():1-10. PubMed ID: 29650303
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Classification of Thyroid Tumors Based on Mass Spectrometry Imaging of Tissue Microarrays; a Single-Pixel Approach.
    Kurczyk A; Gawin M; Chekan M; Wilk A; Łakomiec K; Mrukwa G; Frątczak K; Polanska J; Fujarewicz K; Pietrowska M; Widlak P
    Int J Mol Sci; 2020 Aug; 21(17):. PubMed ID: 32878024
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Mass spectrometry imaging technology and its application in breast cancer research].
    Zhang M; Zhang Y; Wang H; Li N; Li B; Xiao H; Bian W; Cai Z
    Se Pu; 2021 Jun; 39(6):578-587. PubMed ID: 34227318
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. DeepION: A Deep Learning-Based Low-Dimensional Representation Model of Ion Images for Mass Spectrometry Imaging.
    Guo L; Xie C; Miao R; Xu J; Xu X; Fang J; Wang X; Liu W; Liao X; Wang J; Dong J; Cai Z
    Anal Chem; 2024 Mar; 96(9):3829-3836. PubMed ID: 38377545
    [TBL] [Abstract][Full Text] [Related]  

  • 18. PPsNet: An improved deep learning model for microsatellite instability high prediction in colorectal cancer from whole slide images.
    Lou J; Xu J; Zhang Y; Sun Y; Fang A; Liu J; Mur LAJ; Ji B
    Comput Methods Programs Biomed; 2022 Oct; 225():107095. PubMed ID: 36057226
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MIST: multiple instance learning network based on Swin Transformer for whole slide image classification of colorectal adenomas.
    Cai H; Feng X; Yin R; Zhao Y; Guo L; Fan X; Liao J
    J Pathol; 2023 Feb; 259(2):125-135. PubMed ID: 36318158
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Automatic Segmentation of Digital Pathology Slides Based on Unsupervised Learning].
    Qin HY; Deng Y; Zhou YY; Liu HH; Li L; Zhou QQ; Mei J; Bu H; Bao J
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Sep; 52(5):813-818. PubMed ID: 34622598
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.