U-Net: deep learning for cell counting, detection, and morphometry

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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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:

23 Jan 2019 16:50

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

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