Endometrial whole-slide images dataset for detection of malignancy in endometrial biopsies.

ABSTRACT:

Background

Whole-slide imaging enables the digitization of entire histological slides at a high resolution, allowing pathologists and researchers to analyze tissue samples digitally rather than through traditional microscopy. This technology has become increasingly valuable in pathology for research, education, and clinical diagnostics. Endometrial biopsy is very common, often being undertaken to exclude noncancerous disease. This means that most cases do not contain cancer, and the challenge is to accurately and efficiently exclude serious pathology rather than simply make a diagnosis of malignancy. A well-curated, expert-annotated, endometrial whole-slide dataset covering a spread of cancer and noncancer diagnoses will support machine learning applications in automated diagnosis,

SUBMITTER: Mohammadi M 

PROVIDER: S-EPMC12751089 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature