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Frontiers in Bioinformatics
(Sep 2023)
Corrigendum: A review on deep learning applications in highly multiplexed tissue imaging data analysis
Mohammed Zidane,
Ahmad Makky,
Matthias Bruhns,
Matthias Bruhns,
Alexander Rochwarger,
Sepideh Babaei,
Manfred Claassen,
Manfred Claassen,
Christian M. Schürch
Affiliations
Mohammed Zidane
Department of Pathology and Neuropathology, University Hospital and Comprehensive Cancer Center Tübingen, Tübingen, Germany
Ahmad Makky
Department of Pathology and Neuropathology, University Hospital and Comprehensive Cancer Center Tübingen, Tübingen, Germany
Matthias Bruhns
Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany
Matthias Bruhns
Department of Computer Science, University of Tübingen, Tübingen, Germany
Alexander Rochwarger
Department of Pathology and Neuropathology, University Hospital and Comprehensive Cancer Center Tübingen, Tübingen, Germany
Sepideh Babaei
Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany
Manfred Claassen
Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany
Manfred Claassen
Department of Computer Science, University of Tübingen, Tübingen, Germany
Christian M. Schürch
Department of Pathology and Neuropathology, University Hospital and Comprehensive Cancer Center Tübingen, Tübingen, Germany
DOI
https://doi.org/10.3389/fbinf.2023.1287407
Journal volume & issue
Vol. 3
Abstract
Read online
No abstracts available.
Keywords
artificial intelligence
deep learning
highly multiplexed tissue imaging
spatial transcriptomics
cancer
biomarker
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