On the objectivity, reliability, and validity of deep learning enabled bioimage analyses.

Segebarth D, Griebel M, Stein N, von Collenberg CR, Martin C, Fiedler D, Comeras LB, Sah A, Schoeffler V, Lüffe T, Dürr A, Gupta R, Sasi M, Lillesaar C, Lange MD, Tasan RO, Singewald N, Pape HC, Flath CM, Blum R

Open source

DOI: 10.7554/elife.59780
Published: 2020 Oct 19
Container: eLife
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.7554/elife.59780,
  title = {On the objectivity, reliability, and validity of deep learning enabled bioimage analyses.},
  author = {Segebarth D and Griebel M and Stein N and von Collenberg CR and Martin C and Fiedler D and Comeras LB and Sah A and Schoeffler V and Lüffe T and Dürr A and Gupta R and Sasi M and Lillesaar C and Lange MD and Tasan RO and Singewald N and Pape HC and Flath CM and Blum R},
  year = {2020},
  journal = {eLife},
  doi = {10.7554/elife.59780},
  url = {https://doi.org/10.7554/elife.59780}
}

RIS

TY  - JOUR
TI  - On the objectivity, reliability, and validity of deep learning enabled bioimage analyses.
AU  - Segebarth D
AU  - Griebel M
AU  - Stein N
AU  - von Collenberg CR
AU  - Martin C
AU  - Fiedler D
AU  - Comeras LB
AU  - Sah A
AU  - Schoeffler V
AU  - Lüffe T
AU  - Dürr A
AU  - Gupta R
AU  - Sasi M
AU  - Lillesaar C
AU  - Lange MD
AU  - Tasan RO
AU  - Singewald N
AU  - Pape HC
AU  - Flath CM
AU  - Blum R
PY  - 2020
JO  - eLife
DO  - 10.7554/elife.59780
UR  - https://doi.org/10.7554/elife.59780
ER  -

APA

D, S., M, G., N, S., CR, V. C., C, M., D, F., LB, C., A, S., V, S., T, L., A, D., R, G., M, S., C, L., MD, L., RO, T., N, S., HC, P., CM, F., & R, B. (2020). On the objectivity, reliability, and validity of deep learning enabled bioimage analyses.. eLife. https://doi.org/10.7554/elife.59780

Source records

pubmed · retrieved 2026-09-26T05:37:52.814Z