临床与病理杂志2023，Vol.43Issue(12)：2182-2188,7.DOI:10.11817/j.issn.2095-6959.2023.230396
深度学习在胃组织病理诊断中的应用进展
Application progress of deep learning in pathological diagnosis for gastric tissues
摘要
Abstract
The application of deep learning in tissue pathology mainly includes diagnosis and grading of tissue pathology,assessment of biomarkers,and patient prognosis.In order to make deep learning models more generalizable and robust,image preprocessing techniques such as color normalization and data augmentation are commonly used.Currently,research on deep learning in gastric tissue pathological diagnosis is also constantly being explored.This mainly includes using deep learning to identify cancerous regions,classifying gastric tissue lesions(including binary classification method for benign and malignant lesions,or ternary classification method for distinguishing between normal mucosa,gastritis,or gastric cancer),and determining the presence of lymph node metastasis in gastric cancer.Additionally,there are also a few studies that use artificial intelligence to assist pathologists in diagnosing gastric tissue lesions,which not only improves the accuracy of pathological diagnosis but also shortens the diagnostic time.关键词
深度学习/胃/病理诊断/人工智能/病理图像/预处理Key words
deep learning/stomach/pathological diagnosis/artificial intelligence/pathological images/preprocessing引用本文复制引用
张钦荣,刘春霞..深度学习在胃组织病理诊断中的应用进展[J].临床与病理杂志,2023,43(12):2182-2188,7.基金项目
广州医科大学附属第二医院科研启动经费(010M10048) （010M10048）
新疆生产建设兵团科技发展专项(2018AB033).This work was supported by Hospital Research Initiation Funding of the Second Affiliated Hospital of Guangzhou Medical University(010M10048)and the Science and Technology Development Project of Xinjiang Production and Construction Corps(2018AB033),China. （2018AB033）
