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A Deep Learning–Based Assessment Pipeline for Intraepitheli..:
Hamada, Kohei
;
Murakami, Ryusuke
;
Ueda, Akihiko
...
The American Journal of Pathology. 194 (2024) 7 - p. 1272-1284 , 2024
Link:
https://doi.org/10.1016/j.ajpath.2024.02.016
RT Journal T1
A Deep Learning–Based Assessment Pipeline for Intraepithelial and Stromal Tumor-Infiltrating Lymphocytes in High-Grade Serous Ovarian Carcinoma
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ajpath.2024.02.016&Exemplar=1&LAN=DE A1 Hamada, Kohei A1 Murakami, Ryusuke A1 Ueda, Akihiko A1 Kashima, Yoko A1 Miyagawa, Chiho A1 Taki, Mana A1 Yamanoi, Koji A1 Yamaguchi, Ken A1 Hamanishi, Junzo A1 Minamiguchi, Sachiko A1 Matsumura, Noriomi A1 Mandai, Masaki PB Elsevier BV YR 2024 SN 0002-9440 JF The American Journal of Pathology VO 194 IS 7 SP 1272 OP 1284 LK http://dx.doi.org/https://doi.org/10.1016/j.ajpath.2024.02.016 DO https://doi.org/10.1016/j.ajpath.2024.02.016 SF ELIB - SuUB Bremen
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