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)
10.3390/diagnostics11112167 · 2021
Routine digital pathology workflow: the catania experience
10.4103/jpi.jpi_58_17 · 2017
A practical guide to whole slide imaging: a white paper from the digital pathology association
10.5858/arpa.2018-0343-ra · 2019
Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: digital pathology experiences 2006-2013
10.4103/2153-3539.129452 · 2014
Whole slide imaging in pathology: advantages, limitations, and emerging perspectives
2015
Cutting-edge technology and automation in the pathology laboratory
2023
Validation of prostate and breast cancer detection artificial intelligence algorithms for accurate histopathological diagnosis and grading: a retrospective study with a Japanese cohort
2024
Artificial intelligence and whole slide imaging, a new tool for the microsatellite instability prediction in colorectal cancer: friend or foe?
10.1016/j.critrevonc.2025.104694 · 2025
Rapid and efficient screening of Helicobacter pylori in gastric samples stained with Warthin–Starry using deep learning
10.3390/diagnostics15091085 · 2025
Artificial intelligence-based automatic mitosis scoring in breast cancer improves inter-observer concordance and efficiency
10.1016/j.clbc.2025.04.021 · 2025
Artificial intelligence in predicting EGFR mutations from whole slide images in lung cancer: a systematic review and meta-analysis
10.1016/j.lungcan.2025.108577 · 2025
HEROHE challenge: predicting HER2 status in breast cancer from hematoxylin–eosin whole-slide imaging
10.3390/jimaging8080213 · 2022
Deep learning methodologies applied to digital pathology in prostate cancer: a systematic review
10.3390/diagnostics13162676 · 2023
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
10.1001/jama.2017.14585 · 2017
Artificial intelligence and computational pathology
10.1038/s41374-020-00514-0 · 2021
Artificial intelligence for digital and computational pathology
10.1038/s44222-023-00096-8 · 2023
The need for measurement science in digital pathology
10.1016/j.jpi.2022.100157 · 2022
Whole slide image quality in digital pathology: review and perspectives
2022
Types and frequency of whole slide imaging scan failures in a clinical high throughput digital pathology scanning laboratory
10.1016/j.jpi.2022.100112 · 2022
The effect of quality control on accuracy of digital pathology image analysis
10.1109/jbhi.2020.3046094 · 2021
Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images
10.1016/j.compmedimag.2023.102321 · 2024
HistoQC: an open-source quality control tool for digital pathology slides
10.1200/cci.18.00157 · 2019
Quality control stress test for deep learning-based diagnostic model in digital pathology
10.1038/s41379-021-00859-x · 2021
Efficient quality control of whole slide pathology images with human-in-the-loop training
10.1016/j.jpi.2023.100306 · 2023
Quality management system in clinical digital pathology operations at a tertiary cancer center
10.1016/j.labinv.2023.100246 · 2023
Potential quality pitfalls of digitalized whole slide image of breast pathology in routine practice
10.1038/s41379-021-01000-8 · 2022
Integrating digital pathology into clinical practice
10.1038/s41379-021-00929-0 · 2022
Whole slide imaging: technology and applications
10.1097/pap.0000000000000273 · 2020
A point-of-use quality assurance tool for digital pathology remote working
10.4103/jpi.jpi_25_20 · 2020
Unresolved referenced work
2014
The unsafe archaic processes of tissue pathology
10.1093/ajcp/aqac018 · 2022
Invisible for a few but essential for many: the role of Histotechnologists in the establishment of digital pathology
2023
A survival guide for the rapid transition to a fully digital workflow: the “Caltagirone example”
10.3390/diagnostics11101916 · 2021
Digital pathology implementation in a private laboratory: the CEDAP experience
10.1016/j.jpi.2022.100180 · 2023
Artificial intelligence-based quality assessment of histopathology whole-slide images within a clinical workflow: assessment of ‘PathProfiler’ in a diagnostic pathology setting
10.3390/diagnostics14100990 · 2024
Real-world implementation of digital pathology: results from an intercontinental survey
10.1016/j.labinv.2023.100261 · 2023
Measuring digital pathology throughput and tissue dropouts
10.4103/jpi.jpi_5_21 · 2022
Whole slide imaging equivalency and efficiency study: experience at a large academic center
10.1038/s41379-019-0205-0 · 2019
Remote reporting during a pandemic using digital pathology solution: experience from a tertiary care cancer center
10.4103/jpi.jpi_109_20 · 2021
Complete digital pathology for routine histopathology diagnosis in a multicenter hospital network
10.5858/arpa.2018-0541-oa · 2020
