[Application and Progress of Convolutional Neural Network-based Pathological Diagnosis of Gastric Cancer].
[Application and Progress of Convolutional Neural Network-based Pathological Diagnosis of Gastric Cancer].
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DOI：
10.12182/20210360501
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发表时间：
2021-03-01
期刊：
影响因子：
--
通讯作者：
Jin, Mu-Lan
中科院分区：
文献类型：
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作者：
Guo, Xin-Meng;Zhao, Hong-Ying;Jin, Mu-Lan
在中国的各类恶性肿瘤中，胃癌的发病率最高。由于胃癌在早期很难识别，中国对胃癌的早期诊断率较低。目前，胃癌的病理诊断主要依靠病理学家的诊断。然而，人民生活水平的逐步提高和医疗保健需求的日益增长，加剧了医疗资源短缺，这已经成为一个更加严重的问题。因此，迫切需要新技术来帮助应对这一挑战。近年来，随着人工智能(AI)和数字病理学的快速发展，以卷积神经网络(CNN)为核心技术的AI辅助病理诊断在提高胃癌诊断效率方面显示出良好的前景。对该病的早期诊断和治疗，降低其高发和死亡率也具有重要意义。本文综述了深度学习细胞神经网络在胃癌病理诊断中的应用和进展，以及存在的问题和未来的发展前景。
The incidence of gastric cancer is the highest among all kinds of malignant tumors in China. Because gastric cancer is very hard to identify in its early stage, the early diagnosis rate of gastric cancer in China is relatively low. At present, the pathological diagnosis of gastric cancer mainly depends on the diagnosis of pathologists. However, the gradual improvement of people's living standards and the growing demand for medical and health care have exacerbated the shortage of medical resources, which has become a even more serious problem. Therefore, there is an urgent need for new technologies to help deal with this challenge. In recent years, with the rapid development of artificial intelligence (AI) and digital pathology, AI-aided pathological diagnosis based on convolutional neural network (CNN) as the core technology is showing promises for improving the diagnostic efficiency of gastric cancer. It is also of great significance for the early diagnosis and treatment of the disease and the reduction of its high incidence and mortality. We herein summarize the application and progress of deep-learning CNN in pathological diagnosis of gastric cancer, as well as the existing problems and prospects of future development.