Can we train a single deep learning model to detect and segment nuclei images acquired with any microscope or staining modality?

ASM Shihavuddin, Florian Gawrilowicz, Niels Jeppesen, Rasmus Reinhold Paulsen

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

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Original language	English
Publication date	2018
Publication status	Published - 2018
Event	69th Annual Conference of the Nordic Microscopy Society - Technical University of Denmark, Kgs. Lyngby, Denmark Duration: 25 Jun 2018 → 28 Jun 2018 Conference number: 69 http://www.scandem2018.com http://www.cen.dtu.dk/english/scandem-2018

Conference	69th Annual Conference of the Nordic Microscopy Society
Number	69
Location	Technical University of Denmark
Country/Territory	Denmark
City	Kgs. Lyngby
Period	25/06/2018 → 28/06/2018
Internet address	http://www.scandem2018.com http://www.cen.dtu.dk/english/scandem-2018

Access to Document

@conference{5746501b24b74d0b96536768e4f27b74,

title = "Can we train a single deep learning model to detect and segment nuclei images acquired with any microscope or staining modality?",

author = "ASM Shihavuddin and Florian Gawrilowicz and Niels Jeppesen and Paulsen, {Rasmus Reinhold}",

year = "2018",

language = "English",

note = "69th Annual Conference of the Nordic Microscopy Society, Scandem 2018 ; Conference date: 25-06-2018 Through 28-06-2018",

url = "http://www.scandem2018.com, http://www.cen.dtu.dk/english/scandem-2018",

}

Can we train a single deep learning model to detect and segment nuclei images acquired with any microscope or staining modality? / Shihavuddin, ASM; Gawrilowicz, Florian; Jeppesen, Niels et al.
2018. Abstract from 69th Annual Conference of the Nordic Microscopy Society, Kgs. Lyngby, Denmark.

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review