Automated Ki-67 Quantification of Immunohistochemical Staining Image of Human Nasopharyngeal Carcinoma Xenografts.
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An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer.AutoIHC-scoring: a machine learning framework for automated Allred scoring of molecular expression in ER- and PR-stained breast cancer tissue.Prognostic significance of downregulated BMAL1 and upregulated Ki-67 proteins in nasopharyngeal carcinoma.Claudin1 promotes the proliferation, invasion and migration of nasopharyngeal carcinoma cells by upregulating the expression and nuclear entry of β-catenin
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Automated Ki-67 Quantification of Immunohistochemical Staining Image of Human Nasopharyngeal Carcinoma Xenografts.
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scientific article published on 26 August 2016
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Automated Ki-67 Quantification ...... aryngeal Carcinoma Xenografts.
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Automated Ki-67 Quantification ...... aryngeal Carcinoma Xenografts.
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Automated Ki-67 Quantification ...... aryngeal Carcinoma Xenografts.
@en
Automated Ki-67 Quantification ...... aryngeal Carcinoma Xenografts.
@nl
prefLabel
Automated Ki-67 Quantification ...... aryngeal Carcinoma Xenografts.
@en
Automated Ki-67 Quantification ...... aryngeal Carcinoma Xenografts.
@nl
P2093
P2860
P921
P356
P1433
P1476
Automated Ki-67 Quantification ...... aryngeal Carcinoma Xenografts.
@en
P2093
Jing Zhong
Jinsheng Hong
Kaijun Wang
Rongfang Huang
Yunbin Chen
P2860
P2888
P356
10.1038/SREP32127
P407
P577
2016-08-26T00:00:00Z