生物医学工程研究2024，Vol.43Issue(3)：175-180,222,7.DOI:10.19529/j.cnki.1672-6278.2024.03.01
全视野数字病理图像智能分析
Intelligent analysis of whole slide imaging
摘要
Abstract
With the rapid advancement of digital histopathology,whole slide imaging(WSI)has seen widespread application in the medical field.In recent years,the rapid development of deep learning algorithms has provided new opportunities for WSI research.To better analyze WSI and fully utilize its rich detailed information,and extract features from WSI images by using deep learning algo-rithms,thereby accomplishing various downstream tasks has become a research hotpot.We provide a comprehensive review of the intel-ligent analysis of WSI images.Firstly,several methods for color normalization using deep learning are introduct.Subsequently,we re-view different strategies employed in various studies for input data selection.Finally,we summarize the applications of deep learning in the three major downstream tasks of WSI images:segmentation,classification,and prediction,and discuss the challenges and future directions for the application of deep learning in WSI.关键词
深度学习/全视野数字病理切片/数字病理学图像分析/卷积神经网络/组织病理学图像Key words
Deep learning/Whole slide imaging/Digital pathology image analysis/Convolutional neural networks/Histopathological image分类
医药卫生引用本文复制引用
王景川,胡喜风,许宏吉,刘治..全视野数字病理图像智能分析[J].生物医学工程研究,2024,43(3):175-180,222,7.基金项目
山东省重点研发计划(重大科技创新工程)(2021CXGC010506) （重大科技创新工程）
济南高校二十条项目(2021GXRC024). （2021GXRC024）
