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1
A Novel Approach on Segmentation of AgNOR-Stained Cytology ..:
, In:
2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)
,
Atkinson Amorim, Joao Gustavo
;
Buschetto Macarini, Luiz Antonio
;
Victoria Matias, Andre
... - p. 552-557 , 2020
Link:
https://doi.org/10.1109/CBMS49503.2020.00110
RT T1
2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)
: T1
A Novel Approach on Segmentation of AgNOR-Stained Cytology Images Using Deep Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-9183262&Exemplar=1&LAN=DE A1 Atkinson Amorim, Joao Gustavo A1 Buschetto Macarini, Luiz Antonio A1 Victoria Matias, Andre A1 Cerentini, Allan A1 Botelho De Miranda Onofre, Fabiana A1 Sherlley Casimiro Onofre, Alexandre A1 Von Wangenheim, Aldo YR 2020 SN 2372-9198 K1 Cancer K1 Lesions K1 Training K1 Image segmentation K1 Machine learning K1 Satellites K1 Software K1 AgNOR K1 Cytology K1 Deep Learning K1 Nucleolar Organizer Regions SP 552 OP 557 LK http://dx.doi.org/https://doi.org/10.1109/CBMS49503.2020.00110 DO https://doi.org/10.1109/CBMS49503.2020.00110 SF ELIB - SuUB Bremen
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