Area of research
Oncology · Signal Processing
Research interest
Research interests include Advanced Malware Detection Techniques, Cancer Immunotherapy and Biomarkers, AI in cancer detection, and Network Security and Intrusion Detection.
A T2-weighted MRI grading system for preoperative prediction of visceral pleural invasion in small non-small cell lung cancers
Artificial intelligence enhances whole‐slide interpretation of PD‐L1 CPS in triple‐negative breast cancer: A multi‐institutional ring study
Concordance of assessments of four PD-L1 immunohistochemical assays in esophageal squamous cell carcinoma (ESCC)
Abstract PO5-07-02: AI-assisted interpretation of PD-L1 CPS improves the precision medicine in Triple-negative breast cancer
The Role of Artificial Intelligence in Accurate Interpretation of HER2 Immunohistochemical Scores 0 and 1+ in Breast Cancer
The devil is in the details: a small-lesion sensitive weakly supervised learning framework for prostate cancer detection and grading
Tumor infiltrating lymphocytes and neutrophil-to-lymphocyte ratio in relation to pathological complete remission to neoadjuvant therapy and prognosis in triple negative breast cancer
Effect of storage time of paraffin sections on the expression of PD-L1 (SP142) in invasive breast cancer
RT-qPCR is helpful to distinguish the clinicopathological features of HER2 immunohistochemistry 0 and 1 +
Clinicopathological features and prognostic analysis of HER2 low and fibrotic focus in HER2-negative breast cancer
High Dynamic Range Dual-Modal White Light Imaging Improves the Accuracy of Tumor Bed Sampling After Neoadjuvant Therapy for Breast Cancer
The new idea of cancer immunotherapy: the expression of PD-L1 may reveal the immunological mechanism of resistance of EGFR-TKIs
Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images
The efficacy of additional surgical resection after endoscopic resection in pT1b esophageal squamous cell carcinoma: A multi-institutional retrospective study in China
The role of artificial intelligence in accurate interpretation of HER2 IHC 0 and 1+ in breast cancers
High dynamic range dual-modal white light imaging system improves the accuracy of tumor bed sampling after neoadjuvant therapy for breast cancer
Can AI-assisted microscope facilitate breast HER2 interpretation? A multi-institutional ring study
How can artificial intelligence models assist PD-L1 expression scoring in breast cancer: results of multi-institutional ring studies
Improving Ki67 assessment concordance by the use of an artificial intelligence‐empowered microscope: a multi‐institutional ring study
The efficacy of current-used risk factors for metastasis and the effectiveness of additional surgical resection in pT1b esophageal squamous cell carcinoma after endoscopic resection: A multi-institutional retrospective study in China
Prognostic implications of stromal tumor-infiltrating lymphocytes and programmed death ligand 1 expression in HER2-positive invasive breast cancer
Intratumoral heterogeneity of esophageal squamous cell carcinoma and its clinical significance