- Title:
Make deep learning algorithms in computational pathology more reproducible and reusable.
- Document type:
- Journal Article; Research Support, Non-U.S. Gov't
- Author(s):
- Wagner, Sophia J; Matek, Christian; Shetab Boushehri, Sayedali; Boxberg, Melanie; Lamm, Lorenz; Sadafi, Ario; Waibel, Dominik J E; Marr, Carsten; Peng, Tingying
- Journal title abbreviation:
- Nat Med
- Year:
- 2022
- Journal volume:
- 28
- Journal issue:
- 9
- Pages contribution:
- 1744-1746
- Fulltext / DOI:
- doi:10.1038/s41591-022-01905-0
- Pubmed ID:
- http://view.ncbi.nlm.nih.gov/pubmed/35941376
- Print-ISSN:
- 1078-8956
- TUM Institution:
- Institut für Allgemeine Pathologie und Pathologische Anatomie
BibTeX