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1 Ergebnisse
1
Predict Ki-67 Positive Cells in H&E-Stained Images Using De..:
Yiqing Liu
;
Xi Li
;
Aiping Zheng
...
https://www.frontiersin.org/article/10.3389/fmolb.2020.00183/full. , 2020
Link:
https://doi.org/10.3389/fmolb.2020.00183
RT Journal T1 <Title>Predict Ki-67 Positive Cells in H&E-Stained Images Using Deep Learning Independently From IHC-Stained Images</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:d0475cbf79454fdfabd4d350e4b48d20&Exemplar=1&LAN=DE A1 Yiqing Liu A1 Xi Li A1 Aiping Zheng A1 Xihan Zhu A1 Shuting Liu A1 Mengying Hu A1 Qianjiang Luo A1 Huina Liao A1 Mubiao Liu A1 Yonghong He A1 Yupeng Chen PB Frontiers Media S.A. YR 2020 K1 digital pathology K1 immunohistochemistry K1 Ki-67 K1 deep learning K1 fully convolutional network K1 neuroendocrine tumor K1 Biology (General) K1 QH301-705.5 JF https://www.frontiersin.org/article/10.3389/fmolb.2020.00183/full LK http://dx.doi.org/https://doi.org/10.3389/fmolb.2020.00183 DO https://doi.org/10.3389/fmolb.2020.00183 SF ELIB - SuUB Bremen
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