Literature DB >> 16988396

Characteristics and value of machine learning for imaging in high content screening.

Juergen A Klenk1.   

Abstract

Requirements for a flexible image analysis package for high content screening (HCS) are discussed. An overview of tools and techniques for image analysis and machine learning is given. Machine learning for classification and segmentation, the two fundamental elements of image analysis, is discussed. Next generation image analysis packages for HCS are reviewed. Recommendations for the development of image analysis solutions for advanced assays are given.

Mesh:

Year:  2007        PMID: 16988396     DOI: 10.1385/1-59745-217-3:83

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  Establishment and Validation of an In Vitro Screening Method for Traditional Chinese Medicine-Induced Nephrotoxicity.

Authors:  Zhe Ma; Xuexiao Cao; Xiao Guo; Meng Wang; Xiaoliang Ren; Ranran Dong; Rui Shao; Yan Zhu
Journal:  Evid Based Complement Alternat Med       Date:  2018-06-28       Impact factor: 2.629

  1 in total

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