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亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!
赵娜
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2024-08-16 加入
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Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study
8小时前
待确认
Axillary Pathologic Complete Response After Neoadjuvant Systemic Therapy by Breast Cancer Subtype in Patients With Initially Clinically Node-Positive Disease
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The role of magnetic resonance imaging in assessing residual disease and pathologic complete response in breast cancer patients receiving neoadjuvant chemotherapy: a systematic review
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Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study
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Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer
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Convergence of evolving artificial intelligence and machine learning techniques in precision oncology
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Measurement of Residual Breast Cancer Burden to Predict Survival After Neoadjuvant Chemotherapy
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Noninvasive Artificial Intelligence System for Early Predicting Residual Cancer Burden during Neoadjuvant Chemotherapy in Breast Cancer
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A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular marker discovery of gliomas
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An explainable longitudinal multi-modal fusion model for predicting neoadjuvant therapy response in women with breast cancer
3个月前
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