CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images

Lee, Michael Y.; Bedia, Jacob S.; Bhate, Salil S.; Barlow, Graham L.; Phillips, Darci; Fantl, Wendy J.; Nolan, Garry P.; Schuerch, Christian M.

dc.contributor.author	Schürch, Christian Martijn
dc.date.accessioned	2023-03-07T12:51:43Z
dc.date.available	2023-03-07T12:51:43Z
dc.date.issued	2022
dc.identifier.issn	1471-2105
dc.identifier.uri	http://hdl.handle.net/10900/137663
dc.language.iso	en	de_DE
dc.publisher	Bmc	de_DE
dc.relation.uri	http://dx.doi.org/10.1186/s12859-022-04570-9	de_DE
dc.subject.ddc	570	de_DE
dc.subject.ddc	600	de_DE
dc.title	CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images	de_DE
dc.type	Article	de_DE
utue.quellen.id	20220728000000_02399
utue.personen.roh	Lee, Michael Y.
utue.personen.roh	Bedia, Jacob S.
utue.personen.roh	Bhate, Salil S.
utue.personen.roh	Barlow, Graham L.
utue.personen.roh	Phillips, Darci
utue.personen.roh	Fantl, Wendy J.
utue.personen.roh	Nolan, Garry P.
utue.personen.roh	Schuerch, Christian M.
dcterms.isPartOf.ZSTitelID	Bmc Bioinformatics	de_DE
dcterms.isPartOf.ZS-Issue	1	de_DE
dcterms.isPartOf.ZS-Volume	23	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE