深度学习模型作为肺癌肿瘤病理学计算机辅助诊断的新趋势。
Deep Learning Model as a New Trend in Computer-aided Diagnosis of Tumor Pathology for Lung Cancer.
作者信息
Cong Lei, Feng Wanbing, Yao Zhigang, Zhou Xiaoming, Xiao Wei
机构信息
Department of Oncology, Shandong Provincial Hospital affiliated to Shandong University, Jinan, China.
Cheeloo College of Medicine, Shandong University, Jinan, China.
出版信息
J Cancer. 2020 Mar 26;11(12):3615-3622. doi: 10.7150/jca.43268. eCollection 2020.
Abstract
Lung cancer is one of the main causes of cancer-related death in the world. The identification and characteristics of malignant cells are essential for the diagnosis and treatment of primary or metastatic cancers. Deep learning is a new field of artificial intelligence, which can be used for computer aided diagnosis and scientific research of lung cancer pathology by analyzing and learning through establishment and simulation of human brain. In this review, we will introduce the application, progress and problems of deep learning in pathology of lung cancer and make prospects for its future development.
摘要
肺癌是全球癌症相关死亡的主要原因之一。恶性细胞的识别和特征对于原发性或转移性癌症的诊断和治疗至关重要。深度学习是人工智能的一个新领域，它可以通过建立和模拟人脑进行分析和学习，用于肺癌病理学的计算机辅助诊断和科学研究。在这篇综述中，我们将介绍深度学习在肺癌病理学中的应用、进展和问题，并对其未来发展进行展望。
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