Article
Label Noise in Pathological Segmentation is Overlooked, Leading to Potential Overestimation of Artificial Intelligence Models
2025-02-23
Abstract excerpt
Artificial intelligence (AI) has transformed medical imaging, driving advancements in radiology and endoscopy. Semantic segmentation, a pixel-level technique crucial for delineating pathological features, has become a cornerstone of digital pathology. Pathology segmentation AI models are often trained using annotations generated by pathologists. Despite the meticulous care typically exercised, these annotations fr...
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Identifiers and source
- Literature Corpus work
- 4192f9b5-2e94-5116-b72d-f9e403da4d09
- DOI
- 10.1101/2025.02.18.638843
