计算病理学应用研究进展与挑战

Advances and Challenges in Applied Computational Pathology

  • 摘要: 计算病理学是病理学与人工智能、计算机视觉等信息技术交叉形成的细分领域,其研究范畴已从病灶检测、免疫组化染色细胞计数迅速拓展至分子病理、预后以及治疗响应等标签的预测中。计算病理模型已在临床研究中得到较为深入的应用,将成为精准医疗背景下重要的辅助诊疗工具。本文对计算病理领域最新应用进展进行综述,并探讨相关研究与应用中的主要挑战与对策。

     

    Abstract: Computational pathology (CP) is an interdiscipline formed by pathology and informatics techniques such as artificial intelligence and computer vision. The research field of CP has been rapidly broadened from lesion detection and immunohistochemistry quantification to predictions of molecular and prognostic properties. CP models, applied intensively in clinics and research, will become an essential assistant tool for diagnosis and disease management. In this paper, we aim to review recent developments in the field of CP, and discuss major challenges and potential solutions in practice and research.

     

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