BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

698 related articles for article (PubMed ID: 27527408)

  • 1. Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features.
    Yu KH; Zhang C; Berry GJ; Altman RB; Ré C; Rubin DL; Snyder M
    Nat Commun; 2016 Aug; 7():12474. PubMed ID: 27527408
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis.
    Luo X; Zang X; Yang L; Huang J; Liang F; Rodriguez-Canales J; Wistuba II; Gazdar A; Xie Y; Xiao G
    J Thorac Oncol; 2017 Mar; 12(3):501-509. PubMed ID: 27826035
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Association of Omics Features with Histopathology Patterns in Lung Adenocarcinoma.
    Yu KH; Berry GJ; Rubin DL; Ré C; Altman RB; Snyder M
    Cell Syst; 2017 Dec; 5(6):620-627.e3. PubMed ID: 29153840
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep-Hipo: Multi-scale receptive field deep learning for histopathological image analysis.
    Kosaraju SC; Hao J; Koh HM; Kang M
    Methods; 2020 Jul; 179():3-13. PubMed ID: 32442672
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks.
    Yu KH; Wang F; Berry GJ; Ré C; Altman RB; Snyder M; Kohane IS
    J Am Med Inform Assoc; 2020 May; 27(5):757-769. PubMed ID: 32364237
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Classification and Prognosis Prediction from Histopathological Images of Hepatocellular Carcinoma by a Fully Automated Pipeline Based on Machine Learning.
    Liao H; Xiong T; Peng J; Xu L; Liao M; Zhang Z; Wu Z; Yuan K; Zeng Y
    Ann Surg Oncol; 2020 Jul; 27(7):2359-2369. PubMed ID: 31916093
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Selection, Visualization, and Interpretation of Deep Features in Lung Adenocarcinoma and Squamous Cell Carcinoma.
    Dehkharghanian T; Rahnamayan S; Riasatian A; Bidgoli AA; Kalra S; Zaveri M; Babaie M; Seyed Sajadi MS; Gonzalelz R; Diamandis P; Pantanowitz L; Huang T; Tizhoosh HR
    Am J Pathol; 2021 Dec; 191(12):2172-2183. PubMed ID: 34508689
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automated Classification of Lung Cancer Types from Cytological Images Using Deep Convolutional Neural Networks.
    Teramoto A; Tsukamoto T; Kiriyama Y; Fujita H
    Biomed Res Int; 2017; 2017():4067832. PubMed ID: 28884120
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Morphologic Accuracy in Differentiating Primary Lung Adenocarcinoma From Squamous Cell Carcinoma in Cytology Specimens.
    Zakowski MF; Rekhtman N; Auger M; Booth CN; Crothers B; Ghofrani M; Khalbuss W; Laucirica R; Moriarty AT; Tabatabai ZL; Barkan GA
    Arch Pathol Lab Med; 2016 Oct; 140(10):1116-20. PubMed ID: 27552093
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparative study of ex vivo probe-based confocal laser endomicroscopy and light microscopy in lung cancer diagnostics.
    Sorokina A; Danilevskaya O; Averyanov A; Zabozlaev F; Sazonov D; Yarmus L; Lee HJ
    Respirology; 2014 Aug; 19(6):907-13. PubMed ID: 24909555
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Significance of tumour cell HLA-G5/-G6 isoform expression in discrimination for adenocarcinoma from squamous cell carcinoma in lung cancer patients.
    Yan WH; Liu D; Lu HY; Li YY; Zhang X; Lin A
    J Cell Mol Med; 2015 Apr; 19(4):778-85. PubMed ID: 25689063
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Comparative Texture Analysis Based on NECT and CECT Images to Differentiate Lung Adenocarcinoma from Squamous Cell Carcinoma.
    Liu H; Jing B; Han W; Long Z; Mo X; Li H
    J Med Syst; 2019 Feb; 43(3):59. PubMed ID: 30707369
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival.
    Lu C; Lewis JS; Dupont WD; Plummer WD; Janowczyk A; Madabhushi A
    Mod Pathol; 2017 Dec; 30(12):1655-1665. PubMed ID: 28776575
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis.
    Yu L; Tao G; Zhu L; Wang G; Li Z; Ye J; Chen Q
    BMC Cancer; 2019 May; 19(1):464. PubMed ID: 31101024
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Combining texture features of whole slide images improves prognostic prediction of recurrence-free survival for cutaneous melanoma patients.
    Peng Y; Chu Y; Chen Z; Zhou W; Wan S; Xiao Y; Zhang Y; Li J
    World J Surg Oncol; 2020 Jun; 18(1):130. PubMed ID: 32546168
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Expression of integrin-linked kinase in lung squamous cell carcinoma and adenocarcinoma: correlation with E-cadherin expression, tumor microvessel density and clinical outcome.
    Yu J; Shi R; Zhang D; Wang E; Qiu X
    Virchows Arch; 2011 Jan; 458(1):99-107. PubMed ID: 21136077
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of 5 Gene Signatures in Survival Prediction for Patients with Lung Squamous Cell Carcinoma Based on Integrated Multiomics Data Analysis.
    Ma H; Tong L; Zhang Q; Chang W; Li F
    Biomed Res Int; 2020; 2020():6427483. PubMed ID: 32596344
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Semiautomated monolayer preparation of bronchial secretions using AutoCyte PREP.
    Motherby H; Nicklaus S; Berg A; Ohler S; Ross B; Sarbia M; Böcking A
    Acta Cytol; 1999; 43(1):47-57. PubMed ID: 9987450
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Construction and Validation of a Protein Prognostic Model for Lung Squamous Cell Carcinoma.
    Fang X; Liu X; Weng C; Wu Y; Li B; Mao H; Guan M; Lu L; Liu G
    Int J Med Sci; 2020; 17(17):2718-2727. PubMed ID: 33162799
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Histopathological image and gene expression pattern analysis for predicting molecular features and prognosis of head and neck squamous cell carcinoma.
    Chen L; Zeng H; Zhang M; Luo Y; Ma X
    Cancer Med; 2021 Jul; 10(13):4615-4628. PubMed ID: 33987946
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 35.