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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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Literature Corpus work
4192f9b5-2e94-5116-b72d-f9e403da4d09
DOI
10.1101/2025.02.18.638843
Open publication

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Label Noise in Pathological Segmentation is Overlooked, Leading to Potential Overestimation of Artificial Intelligence ModelsDOI 10.1101/2025.02.18.638843
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