Limeng Qu
Nanjing Forestry University(CN)Forest Research(GB)
Publications by Year
Research Areas
Breast Cancer Treatment Studies, Breast Lesions and Carcinomas, Radiomics and Machine Learning in Medical Imaging, Cancer Immunotherapy and Biomarkers, Epigenetics and DNA Methylation
Most-Cited Works
- → Deep learning-based multifeature integration robustly predicts central lymph node metastasis in papillary thyroid cancer(2023)61 cited
- → Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey(2025)15 cited
- → Construction and validation of a risk prediction model for clinical axillary lymph node metastasis in T1–2 breast cancer(2022)10 cited
- → Axillary lymph node metastasis in breast cancer: from historical axillary surgery to updated advances in the preoperative diagnosis and axillary management(2025)8 cited
- → An unsupervised learning model based on CT radiomics features accurately predicts axillary lymph node metastasis in breast cancer patients: diagnostic study(2024)7 cited
- → Prognostic and immune correlation of IDO1 promoter methylation in breast cancer(2024)6 cited
- → Prognostic value of tumor mutation burden and the relationship between tumor mutation burden and immune infiltration in HER2+ breast cancer: a gene expression-based study(2022)6 cited
- → 3D reconstruction based novel methods are more effective than traditional clinical assessment in breast cancer axillary lymph node metastasis prediction(2022)4 cited
- → Evaluating axillary lymph node metastasis risks in breast cancer patients via Semi-ALNP: a multicenter study(2025)4 cited
- → Comparative effectiveness of nipple-sparing mastectomy and breast-conserving surgery on long-term prognosis in breast cancer(2023)3 cited