Application and Validation of Semiautomatic Quantification of Immunohistochemically Stained Sections for Low Cellular Tissue <scp>Such as Intervertebral Disc</scp> Using <scp>QuPath</scp>

These findings underscore the potential of QuPath to streamline IHC analysis and enhance inter-laboratory comparability.

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Publication Details

Journal
JOR Spine
Published
2025-03-01
DOI
https://doi.org/10.1002/jsp2.70054
Citations
3
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
7.44
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article

Application and Validation of Semiautomatic Quantification of Immunohistochemically Stained Sections for Low Cellular Tissue Such as Intervertebral Disc Using QuPath

Mohammad A. Ferri, Christine L. Le Maitre, Andrea Nüesch
3 citations
JOR Spine
AI in cancer detection
7.44
article

Application and Validation of Semiautomatic Quantification of Immunohistochemically Stained Sections for Low Cellular Tissue Such as Intervertebral Disc Using QuPath

Mohammad A. Ferri, Christine L. Le Maitre, Andrea Nüesch
article en
3 citations

Abstract

These findings underscore the potential of QuPath to streamline IHC analysis and enhance inter-laboratory comparability.

JOR SpineVol. 8(1)
Barcelona Supercomputing Center (ES), Universitat de Barcelona (ES), University of Sheffield (GB), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 4%
AI in cancer detection
7.44
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