Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care-Reference-Cited by-同舟云学术

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Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care

Published:2017-06-19 Issue:1 Volume:1 Page:
ISSN:2397-768X
Container-title:npj Precision Oncology
language:en
Short-container-title:npj Precision Onc

Author:

Djuric Ugljesa,Zadeh Gelareh,Aldape Kenneth,Diamandis Phedias

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,History,Education

Link

http://www.nature.com/articles/s41698-017-0022-1.pdf

Reference53 articles.

1. Turk, J. L. Rudolf Virchow—father of cellular pathology. J. R. Soc. Med. 86, 688–689 (1993).

2. McLendon, R. et al. Comprehensive genomic characterization defines human glioblastoma genes and core pathways. Nature 455, 1061–1068 (2008).

3. Cancer Genome Atlas Research Network. et al. Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas. N. Engl. J. Med. 372, 2481–2498 (2015).

4. Ramaswamy, V. & Taylor, M. D. Fall of the optical wall: freedom from the tyranny of the microscope improves glioma risk stratification. Cancer Cell 29, 137–138 (2016).

5. Sackett, D. L. The rational clinical examination. A primer on the precision and accuracy of the clinical examination. J. Am. Med. Assoc. 267, 2638–2644 (1992).

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