|Table of Contents|

Advances in application of deep learning in cell image analysis(PDF)

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

Issue:
2022年第8期
Page:
963-966
Research Field:
医学影像物理
Publishing date:

Info

Title:
Advances in application of deep learning in cell image analysis
Author(s):
WANG Yao1 HUANG Gang1 2
1. School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China 2. Shanghai Key Laboratory of Molecular Imaging, Jiading District Central Hospital, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China
Keywords:
Keywords: cell image?eep learning?mage processing review
PACS:
R318;TP391
DOI:
DOI:10.3969/j.issn.1005-202X.2022.08.008
Abstract:
Abstract: With the development of microscopy technology, microscope has overcome the limitations of human eyes and became an essential tool for the study of cell biology, and it has made tremendous achievements in speed, scale and resolution in recent years.?n addition, the application of deep learning in image processing, especially in cell image processing, has attracted extensive attention.?erein the commonly used algorithms of deep learning in cell image analysis are introduced, and the application of deep learning in cell image processing in recent years is discussed in detail, including image classification, image segmentation, target tracking, and image super-resolution reconstruction.?inally, the opportunities and challenges of deep learning in cell image analysis are forecasted.

References:

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Last Update: 2022-09-05