Пожалуйста, войдите в систему, чтобы принять участие в дискуссии (добавить собственные рецензию, или комментарий)
Цитировать эту публикацию
%0 Journal Article
%1 lee2022cellseg
%A Lee, Michael Y
%A Bedia, Jacob S
%A Bhate, Salil S
%A Barlow, Graham L
%A Phillips, Darci
%A Fantl, Wendy J
%A Nolan, Garry P
%A Schürch, Christian M
%D 2022
%I Springer
%J BMC bioinformatics
%K cell segmentation he staining image nucleus fluorescence yuqi citedby:scholar:count:10 citedby:scholar:timestamp:2022-12-2
%N 1
%P 1--17
%T CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images
%V 23
@article{lee2022cellseg,
added-at = {2022-12-02T19:25:30.000+0100},
author = {Lee, Michael Y and Bedia, Jacob S and Bhate, Salil S and Barlow, Graham L and Phillips, Darci and Fantl, Wendy J and Nolan, Garry P and Sch{\"u}rch, Christian M},
biburl = {https://www.bibsonomy.org/bibtex/20168881de48fcc4b5dbb09dc2320ea68/becker},
interhash = {c642fb5cb68fca278ac3efa79e1d661e},
intrahash = {0168881de48fcc4b5dbb09dc2320ea68},
journal = {BMC bioinformatics},
keywords = {cell segmentation he staining image nucleus fluorescence yuqi citedby:scholar:count:10 citedby:scholar:timestamp:2022-12-2},
number = 1,
pages = {1--17},
publisher = {Springer},
timestamp = {2022-12-02T19:25:30.000+0100},
title = {CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images},
volume = 23,
year = 2022
}