人工智能技术在数字乳腺断层摄影的研究进展 

李培榕 

福建师范大学计算机与网络空间安全学院，福建福州，350117； 

摘要：乳腺癌是女性中最常见的癌症类型，早期检测对降低死亡率至关重要。数字乳腺断层摄影（DBT）作为一 种先进的医学影像技术，通过三维成像大幅提升了病灶定位的精确度和诊断效果。然而，DBT 的解读过程耗时较 长，亟需进一步优化。近年来，人工智能技术已在医学影像领域得到广泛应用。本文综述了人工智能在 DBT 辅助 诊断中的应用，重点讨论了迁移学习在 DBT 中的实践、基于半监督学习的病灶识别方法，以及 DBT 图像分析的新 兴研究方向。本文还分析了当前技术面临的挑战，并展望了未来的发展趋势，强调未来的 AI 系统应整合多源数 据，从而提高预测的准确性和临床应用的普适性。 

关键词：人工智能，乳腺癌，钼靶图像 

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