基于专家认知的安全噪声标签学习，用于乳腺癌残留肿瘤的精确分割（英文版）

英文标题：Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer中文摘要：本文提出了一种基于专家认知的安全噪声标签学习方法来解决新辅助化疗后乳腺癌中残留肿瘤的准确分割问题，并展示了该方法在处理该问题中的优势和潜在潜力，同时公开了更好的预测模型。英文摘要：Precise segmentation of residual tumor in breast cancer (PSRTBC) afterneoadjuvant chemotherapy is a fundamental key technique in the treatmentprocess of breast cancer. However, achieving PSRTBC is still a challenge, sincethe breast cancer tissue and tumor cells commonly have complex and