Falk, Thorsten; Mai, Dominic; Bensch, Robert; Çiçek, Özgün; Abdulkadir, Ahmed; Marrakchi, Yassine; Böhm, Anton; Deubner, Jan; Jäckel, Zoe; Seiwald, Katharina; Dovzhenko, Alexander; Tietz, Olaf; Dal Bosco, Cristina; Walsh, Sean; Saltukoglu, Deniz; Tay, Tuan Leng; Prinz, Marco; Palme, Klaus; Simons, Matias; Diester, Ilka; ... (2019). U-Net: deep learning for cell counting, detection, and morphometry. Nature methods, 16(1), pp. 67-70. Nature Publishing Group 10.1038/s41592-018-0261-2
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s41592-018-0261-2.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (3MB) |
Item Type: |
Journal Article (Original Article) |
---|---|
Division/Institute: |
04 Faculty of Medicine > University Psychiatric Services > University Hospital of Geriatric Psychiatry and Psychotherapy |
UniBE Contributor: |
Abdulkadir, Ahmed |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1548-7091 |
Publisher: |
Nature Publishing Group |
Language: |
English |
Submitter: |
Katharina Klink |
Date Deposited: |
23 Jan 2019 16:50 |
Last Modified: |
05 Dec 2022 15:23 |
Publisher DOI: |
10.1038/s41592-018-0261-2 |
PubMed ID: |
30559429 |
BORIS DOI: |
10.7892/boris.122748 |
URI: |
https://boris.unibe.ch/id/eprint/122748 |