Ensuring reliable digital pathology: a comparative analysis of HistoQC and PathProfiler for artefacts detection in prostate whole-slide images

HistoQC and PathProfiler reliably assess WSI quality in prostate cancer. PathProfiler offers efficiency for clinical use, while HistoQC provides adaptable scoring via machine learning. Together, they can enhance diagnostic accuracy and support integration of AI in digital pathology workflows.

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Publication Details

Journal
Physica Medica
Published
2026-02-05
DOI
https://doi.org/10.1016/j.ejmp.2026.105745
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Ensuring reliable digital pathology: a comparative analysis of HistoQC and PathProfiler for artefacts detection in prostate whole-slide images

Daniele Ravanelli, Erich Robbi, Annalisa Trianni, Sara Citter
Physica Medica
AI in cancer detection
article

Ensuring reliable digital pathology: a comparative analysis of HistoQC and PathProfiler for artefacts detection in prostate whole-slide images

Daniele Ravanelli, Erich Robbi, Annalisa Trianni, Sara Citter
article en

Abstract

HistoQC and PathProfiler reliably assess WSI quality in prostate cancer. PathProfiler offers efficiency for clinical use, while HistoQC provides adaptable scoring via machine learning. Together, they can enhance diagnostic accuracy and support integration of AI in digital pathology workflows.

Physica MedicaVol. 143
University of Trento (IT), Ospedale Santa Chiara (IT)
Openalex Percentile: Top 66%
AI in cancer detection
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