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1
A Generative Adversarial Network Approach to Metastatic Can..:
, In:
2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
,
Lee, Seohyun
;
Kim, Hyuno
;
Higuchi, Hideo
.. - p. 403-406 , 2022
Link:
https://doi.org/10.1109/ICAIIC54071.2022.9722664
RT T1 <cTitle>2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)</cTitle>: T1 <Title>A Generative Adversarial Network Approach to Metastatic Cancer Cell Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9722664&Exemplar=1&LAN=DE A1 Lee, Seohyun A1 Kim, Hyuno A1 Higuchi, Hideo A1 Ishikawa, Masatoshi A1 Natato, Ryuichiro YR 2022 K1 Proteins K1 Shape K1 Microscopy K1 Image edge detection K1 Morphology K1 Learning (artificial intelligence) K1 Observers K1 generative adversarial network K1 cell image classification K1 breast cancer cell K1 biomedical image analysis K1 deep learning SP 403 OP 406 LK http://dx.doi.org/https://doi.org/10.1109/ICAIIC54071.2022.9722664 DO https://doi.org/10.1109/ICAIIC54071.2022.9722664 SF ELIB - SuUB Bremen
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