<ul data-eligibleForWebStory="true"><li>Whole Slide Imaging (WSI) is crucial in modern cancer diagnostics for examining tissue specimens in detail.</li><li>WSIs are prone to artifacts during slide preparation and scanning, potentially impacting downstream image analysis.</li><li>A study proposes and evaluates three robust artifact detection approaches targeting common artifact types in WSIs.</li><li>The foundation model-based approach (FMA) showed the highest performance in detecting artifacts, accompanied by a quality report scorecard.</li></ul>

HistoART: Histopathology Artifact Detection and Reporting Tool

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