BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

99 related articles for article (PubMed ID: 33018247)

  • 1. A Novel Pathological Images and Genomic Data Fusion Framework for Breast Cancer Survival Prediction.
    Li S; Shi H; Sui D; Hao A; Qin H
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1384-1387. PubMed ID: 33018247
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integrating genomic data and pathological images to effectively predict breast cancer clinical outcome.
    Sun D; Li A; Tang B; Wang M
    Comput Methods Programs Biomed; 2018 Jul; 161():45-53. PubMed ID: 29852967
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-Instance Multi-Task Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images.
    Shao W; Shi H; Liu J; Zuo Y; Sun L; Xia T; Chen W; Wan P; Sheng J; Zhu Q; Zhang D
    IEEE Trans Med Imaging; 2024 Jun; 43(6):2266-2278. PubMed ID: 38319755
    [TBL] [Abstract][Full Text] [Related]  

  • 4. TSDLPP: A Novel Two-Stage Deep Learning Framework For Prognosis Prediction Based on Whole Slide Histopathological Images.
    Liu Y; Li A; Liu J; Meng G; Wang M
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(4):2523-2532. PubMed ID: 33989155
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep Multi-Dictionary Learning for Survival Prediction With Multi-Zoom Histopathological Whole Slide Images.
    Tu C; Du D; Zeng T; Zhang Y
    IEEE/ACM Trans Comput Biol Bioinform; 2024; 21(1):14-25. PubMed ID: 37788195
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Joint analysis of histopathology image features and gene expression in breast cancer.
    Popovici V; Budinská E; Čápková L; Schwarz D; Dušek L; Feit J; Jaggi R
    BMC Bioinformatics; 2016 May; 17(1):209. PubMed ID: 27170365
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Pyramid Architecture-Based Deep Learning Framework for Breast Cancer Detection.
    Sui D; Liu W; Chen J; Zhao C; Ma X; Guo M; Tian Z
    Biomed Res Int; 2021; 2021():2567202. PubMed ID: 34631877
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.
    Kim D; Li R; Dudek SM; Ritchie MD
    J Biomed Inform; 2015 Aug; 56():220-8. PubMed ID: 26048077
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.
    Madabhushi A; Agner S; Basavanhally A; Doyle S; Lee G
    Comput Med Imaging Graph; 2011; 35(7-8):506-14. PubMed ID: 21333490
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Robust automatic breast cancer staging using a combination of functional genomics and image-omics.
    Su H; Shen Y; Xing F; Qi X; Hirshfield KM; Yang L; Foran DJ
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():7226-9. PubMed ID: 26737959
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Toward the precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis.
    Zhang Y; Yang W; Li D; Yang JY; Guan R; Yang MQ
    BMC Med Genomics; 2018 Nov; 11(Suppl 5):104. PubMed ID: 30454048
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images.
    Ehteshami Bejnordi B; Balkenhol M; Litjens G; Holland R; Bult P; Karssemeijer N; van der Laak JA
    IEEE Trans Med Imaging; 2016 Sep; 35(9):2141-2150. PubMed ID: 27076354
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multi-Instance Multi-Label Learning for Multi-Class Classification of Whole Slide Breast Histopathology Images.
    Mercan C; Aksoy S; Mercan E; Shapiro LG; Weaver DL; Elmore JG
    IEEE Trans Med Imaging; 2018 Jan; 37(1):316-325. PubMed ID: 28981408
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Histopathological Whole Slide Image Analysis Using Context-Based CBIR.
    Zheng Y; Jiang Z; Zhang H; Xie F; Ma Y; Shi H; Zhao Y
    IEEE Trans Med Imaging; 2018 Jul; 37(7):1641-1652. PubMed ID: 29969415
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Breast Histopathological Image Retrieval Based on Latent Dirichlet Allocation.
    Ma Y; Jiang Z; Zhang H; Xie F; Zheng Y; Shi H; Zhao Y
    IEEE J Biomed Health Inform; 2017 Jul; 21(4):1114-1123. PubMed ID: 27662689
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis.
    Shao W; Han Z; Cheng J; Cheng L; Wang T; Sun L; Lu Z; Zhang J; Zhang D; Huang K
    IEEE Trans Med Imaging; 2020 Jan; 39(1):99-110. PubMed ID: 31170067
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Modelling-based joint embedding of histology and genomics using canonical correlation analysis for breast cancer survival prediction.
    Subramanian V; Syeda-Mahmood T; Do MN
    Artif Intell Med; 2024 Mar; 149():102787. PubMed ID: 38462287
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Topological integration of RPPA proteomic data with multi-omics data for survival prediction in breast cancer via pathway activity inference.
    Kim TR; Jeong HH; Sohn KA
    BMC Med Genomics; 2019 Jul; 12(Suppl 5):94. PubMed ID: 31296204
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Integrative pathway-based survival prediction utilizing the interaction between gene expression and DNA methylation in breast cancer.
    Kim SY; Kim TR; Jeong HH; Sohn KA
    BMC Med Genomics; 2018 Sep; 11(Suppl 3):68. PubMed ID: 30255812
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.