Analysis reveals improved diagnostic accuracy in endometrial biopsies for malignancy, highlighting the role of annotated datasets.
Constructing and curating a high-quality endometrial whole slide dataset requires significant effort to ensure accurate annotations, data integrity, and patient privacy protection. However, the availability of a well-annotated dataset with detailed class labels is crucial for advancing digital pathology. Such a resource can enhance diagnostic accuracy, support personalized treatment strategies, and ultimately improve outcomes for patients with endometrial cancer and other endometrial conditions.
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Mohammadi et al. (2025) studied this question.
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