Can AI-assisted microscope facilitate breast HER2 interpretation? A multi-institutional ring study
2021 · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · 55 citations
https://doi.org/10.1007/s00428-021-03154-x
L
Lijing Cai
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Lijing Cai is an academic researcher from Hebei Medical University. The author has contributed to research in topics: HER2/EGFR in Cancer Research & Radiomics and Machine Learning in Medical Imaging & Cancer Immunotherapy and Biomarkers. The author has an h-index of 10, co-authored 27 publications.
ORCID: 0000-0003-3506-8446Papers by this author
worksHow can artificial intelligence models assist PD-L1 expression scoring in breast cancer: results of multi-institutional ring studies
2021 · npj Breast Cancer · 40 citations
https://doi.org/10.1038/s41523-021-00268-y
RT-qPCR is helpful to distinguish the clinicopathological features of HER2 immunohistochemistry 0 and 1 +
2023 · Pathology - Research and Practice · 10 citations
https://doi.org/10.1016/j.prp.2023.154532
Effect of storage time of paraffin sections on the expression of PD-L1 (SP142) in invasive breast cancer
2023 · Diagnostic Pathology · 10 citations
https://doi.org/10.1186/s13000-023-01423-8
Multi-Omics analysis reveals molecular insights into the effects of acute ozone exposure on lung tissues of normal and obese male mice
2024 · Environment International · 10 citations
https://doi.org/10.1016/j.envint.2024.108436
Concordance of assessments of four PD-L1 immunohistochemical assays in esophageal squamous cell carcinoma (ESCC)
2024 · Journal of Cancer Research and Clinical Oncology · 9 citations
https://doi.org/10.1007/s00432-023-05595-0
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