Research graph
References from Comparative analysis of whole-slide scanner tissue detection algorithms: Implications for scan area, scan time, and file size in high-volume digital pathology workflows. Local targets link to admitted publications; unresolved targets remain external evidence.
Validating whole slide imaging systems for diagnostic purposes in pathology: guideline update from the College of American Pathologists in collaboration with the American Society for Clinical Pathology and the Association for Pathology Informatics
2021 · External reference
Best practice recommendations for the implementation of a digital pathology workflow in the anatomic pathology laboratory by the European Society of Digital and Integrative Pathology (ESDIP)
2021 · External reference
Integrating digital pathology into clinical practice
10.1038/s41379-021-00929-0 · 2022 · External reference
Validation of a digital pathology system including remote review during the COVID-19 pandemic
10.1038/s41379-020-0601-5 · 2020 · External reference
Digital slide scanning at scale: comparison of whole slide imaging devices in a clinical setting
10.1016/j.jpi.2025.100446 · 2025 · External reference
Whole slide imaging in pathology: advantages, limitations, and emerging perspectives
2015 · External reference
Whole slide imaging hardware, software, and infrastructure
2022 · External reference
Contemporary whole slide imaging devices and their applications within the modern pathology department: a selected hardware review
10.4103/jpi.jpi_66_21 · 2021 · External reference
Challenges in the development, deployment, and regulation of artificial intelligence in anatomic pathology
10.1016/j.ajpath.2020.10.018 · 2021 · External reference
Whole slide imaging: technology and applications
10.1097/pap.0000000000000273 · 2020 · External reference
Measuring digital pathology throughput and tissue dropouts
2022 · External reference
Presenting the framework of the whole slide image file babel fish: an OCR-based file labeling tool
10.1016/j.jpi.2024.100402 · 2024 · External reference
10.1016/j.jpi.2023.100321
10.1016/j.jpi.2023.100321 · External reference
Understanding the financial aspects of digital pathology: a dynamic customizable return on investment calculator for informed decision-making
10.1016/j.jpi.2024.100376 · 2024 · External reference
Artificial intelligence—the third revolution in pathology
10.1111/his.13760 · 2019 · External reference
Relationship between magnification and resolution in digital pathology systems
10.4103/2153-3539.116866 · 2013 · External reference
Digital pathology systems enabling quality patient care
10.1002/gcc.23192 · 2023 · External reference
Digitization of pathology labs: a review of lessons learned
10.1016/j.labinv.2023.100244 · 2023 · External reference
10.1016/j.jpi.2023.100318
10.1016/j.jpi.2023.100318 · External reference
Reproducibility of deep learning in digital pathology whole slide image analysis
10.1371/journal.pdig.0000145 · 2022 · External reference
Impact of stain variation and color normalization for prognostic predictions in pathology
10.1038/s41598-024-83267-w · 2025 · External reference
Development of a multi-scanner facility for data acquisition for digital pathology artificial intelligence
10.1002/path.6326 · 2024 · External reference
Whole slide imaging equivalency and efficiency study: experience at a large academic center
10.1038/s41379-019-0205-0 · 2019 · External reference
A practical guide to whole slide imaging: a white paper from the Digital Pathology Association
10.5858/arpa.2018-0343-ra · 2018 · External reference
10.1111/his.70136
10.1111/his.70136 · External reference
Interobserver variability across whole slide imaging systems
10.5858/arpa.2025-0449-oa · 2026 · External reference
