BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

131 related articles for article (PubMed ID: 16988396)

  • 21. Digital imaging for statistical analysis of tissue microarrays.
    Yoshida D; Teramoto A
    J Nippon Med Sch; 2011; 78(6):338-9. PubMed ID: 22197865
    [No Abstract]   [Full Text] [Related]  

  • 22. Image segmentation and classification of white blood cells with the extreme learning machine and the fast relevance vector machine.
    Ravikumar S
    Artif Cells Nanomed Biotechnol; 2016 May; 44(3):985-9. PubMed ID: 25707440
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Characteristics and value of directed algorithms in high content screening.
    Ghosh RN; Lapets O; Haskins JR
    Methods Mol Biol; 2007; 356():63-81. PubMed ID: 16988395
    [TBL] [Abstract][Full Text] [Related]  

  • 24. PCP-ML: protein characterization package for machine learning.
    Eickholt J; Wang Z
    BMC Res Notes; 2014 Nov; 7():810. PubMed ID: 25406415
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling.
    Deng M; Yu R; Wang L; Shi F; Yap PT; Shen D;
    Med Phys; 2016 Dec; 43(12):6588-6597. PubMed ID: 28054724
    [TBL] [Abstract][Full Text] [Related]  

  • 26. [Review: Segmentation and classification methods of 3D medical images].
    Tan O; Duan HL; Lu WX
    Zhongguo Yi Liao Qi Xie Za Zhi; 2002 Mar; 26(3):197-206. PubMed ID: 16104307
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Tissue analysis by imaging MS.
    Oppenheimer SR; Drexler DM
    Bioanalysis; 2012 Jan; 4(1):95-112. PubMed ID: 22191597
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Machine learning in quantitative histopathology.
    Bartels PH; Weber JE; Duckstein L
    Anal Quant Cytol Histol; 1988 Aug; 10(4):299-306. PubMed ID: 3166674
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Artificial Intelligence for Medical Image Analysis: A Guide for Authors and Reviewers.
    England JR; Cheng PM
    AJR Am J Roentgenol; 2019 Mar; 212(3):513-519. PubMed ID: 30557049
    [TBL] [Abstract][Full Text] [Related]  

  • 30. High-throughput biomarker segmentation on ovarian cancer tissue microarrays via hierarchical normalized cuts.
    Janowczyk A; Chandran S; Singh R; Sasaroli D; Coukos G; Feldman MD; Madabhushi A
    IEEE Trans Biomed Eng; 2012 May; 59(5):1240-52. PubMed ID: 22180503
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Fully automated biomedical image segmentation by self-organized model adaptation.
    Wismüller A; Vietze F; Behrends J; Meyer-Baese A; Reiser M; Ritter H
    Neural Netw; 2004; 17(8-9):1327-44. PubMed ID: 15555869
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Convolutional networks can learn to generate affinity graphs for image segmentation.
    Turaga SC; Murray JF; Jain V; Roth F; Helmstaedter M; Briggman K; Denk W; Seung HS
    Neural Comput; 2010 Feb; 22(2):511-38. PubMed ID: 19922289
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Machine learning classifiers and fMRI: a tutorial overview.
    Pereira F; Mitchell T; Botvinick M
    Neuroimage; 2009 Mar; 45(1 Suppl):S199-209. PubMed ID: 19070668
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Strategies and Solutions to Maintain and Retain Data from High Content Imaging, Analysis, and Screening Assays.
    Kozak K; Rinn B; Leven O; Emmenlauer M
    Methods Mol Biol; 2018; 1683():131-148. PubMed ID: 29082491
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Cardiac imaging: working towards fully-automated machine analysis & interpretation.
    Slomka PJ; Dey D; Sitek A; Motwani M; Berman DS; Germano G
    Expert Rev Med Devices; 2017 Mar; 14(3):197-212. PubMed ID: 28277804
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Machine learning improves the precision and robustness of high-content screens: using nonlinear multiparametric methods to analyze screening results.
    Horvath P; Wild T; Kutay U; Csucs G
    J Biomol Screen; 2011 Oct; 16(9):1059-67. PubMed ID: 21807964
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Radiology and Enterprise Medical Imaging Extensions (REMIX).
    Erdal BS; Prevedello LM; Qian S; Demirer M; Little K; Ryu J; O'Donnell T; White RD
    J Digit Imaging; 2018 Feb; 31(1):91-106. PubMed ID: 28840365
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Involvement of Machine Learning for Breast Cancer Image Classification: A Survey.
    Nahid AA; Kong Y
    Comput Math Methods Med; 2017; 2017():3781951. PubMed ID: 29463985
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI-guided radiation planning in the pelvic region.
    Arabi H; Dowling JA; Burgos N; Han X; Greer PB; Koutsouvelis N; Zaidi H
    Med Phys; 2018 Nov; 45(11):5218-5233. PubMed ID: 30216462
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Visual classification: expert knowledge guides machine learning.
    MacInnes J; Santosa S; Wright W
    IEEE Comput Graph Appl; 2010; 30(1):8-14. PubMed ID: 24807088
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.