A review on deep learning applications in highly multiplexed tissue imaging data analysis (vol 3, 1159381, 2023)

被引:0
作者
Zidane, Mohammed [1 ,2 ]
Makky, Ahmad [1 ,2 ]
Bruhns, Matthias [3 ,4 ]
Rochwarger, Alexander [1 ,2 ]
Babaei, Sepideh [3 ]
Claassen, Manfred [3 ,4 ]
Schuerch, Christian M. [1 ,2 ]
机构
[1] Univ Hosp, Dept Pathol & Neuropathol, Tubingen, Germany
[2] Comprehens Canc Ctr Tubingen, Tubingen, Germany
[3] Univ Hosp Tubingen, Dept Internal Med 1, Tubingen, Germany
[4] Univ Tubingen, Dept Comp Sci, Tubingen, Germany
来源
FRONTIERS IN BIOINFORMATICS | 2023年 / 3卷
关键词
artificial intelligence; deep learning; highly multiplexed tissue imaging; spatial transcriptomics; cancer; biomarker; prediction; review;
D O I
10.3389/fbinf.2023.1287407
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
引用
收藏
页数:2
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  • [1] A review on deep learning applications in highly multiplexed tissue imaging data analysis
    Zidane, Mohammed
    Makky, Ahmad
    Bruhns, Matthias
    Rochwarger, Alexander
    Babaei, Sepideh
    Claassen, Manfred
    Schuerch, Christian M.
    [J]. FRONTIERS IN BIOINFORMATICS, 2023, 3