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Bio-EdIP: An automatic approach for in vitro cell confluence images quantification

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Bio-EdIP: An automatic approach for in vitro cell confluence images quantification
Date
2017
Author
Cardona A.
Ariza-Jiménez L.
Uribe D.
Arroyave J.C.
Galeano J.
Cortés-Mancera F.M.

Citation

       
TY - GEN T1 - Bio-EdIP: An automatic approach for in vitro cell confluence images quantification AU - Cardona A. AU - Ariza-Jiménez L. AU - Uribe D. AU - Arroyave J.C. AU - Galeano J. AU - Cortés-Mancera F.M. Y1 - 2017 UR - http://hdl.handle.net/20.500.12622/3456 AB - ER - @misc{20.500.12622_3456, author = {Cardona A. and Ariza-Jiménez L. and Uribe D. and Arroyave J.C. and Galeano J. and Cortés-Mancera F.M.}, title = {Bio-EdIP: An automatic approach for in vitro cell confluence images quantification}, year = {2017}, abstract = {}, url = {http://hdl.handle.net/20.500.12622/3456} }RT Generic T1 Bio-EdIP: An automatic approach for in vitro cell confluence images quantification A1 Cardona A. A1 Ariza-Jiménez L. A1 Uribe D. A1 Arroyave J.C. A1 Galeano J. A1 Cortés-Mancera F.M. YR 2017 LK http://hdl.handle.net/20.500.12622/3456 AB OL Spanish (121)
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017551209&doi=10.1016%2fj.cmpb.2017.03.026&partnerID=40&md5=358d8939d87c266f3dba511e41051b28
URI
http://hdl.handle.net/20.500.12622/3456
DOI
https://doi.org/10.1016/j.cmpb.2017.03.026
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