Benchmarking and Improvement of Artifact Segmentation Methods in H&E-Stained Whole Slide Imaging
Technical artifacts introduced during tissue preparation or slide scanning remain a major obstacle to developing robust computational pathology algorithms for hematoxylin and eosin (HE)-stained whole-slide images (WSIs). Despite the growing number of quality-control tools, their real-world utility remains hard to assess because of the limited number of publicly available implementations and the lack of systematic, multi-dataset comparisons. This paper presents a benchmark of artifact segmentation methods for HE-stained WSIs. After a literature review, six publicly available algorithms were selected and compared in terms of their ability to segment artifact-free tissue and selected artifac...
| Authors | Julia Merta, Daniel Mendelsohn, Benedikt Schoser et al. |
|---|---|
| Primary category | eess.IV |
| Published | 16 October 2026 |
| Last updated at source | 16 October 2026 |
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