SynthUterus ROI

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Johanna P. Müller
DOI: 10.5281/zenodo.18297878
Cited by: 0

Abstract

We introduce SynthUterus ROI, a dataset of 800 region-of-interest (ROI)-cropped 96x96 synthetic uterus MRI images generated with diffusion models conditioned on uterine orientation. All images were independently annotated by clinicians for visual realism, orientation correctness and anomalies. SynthUterus ROI is designed for training and validation of medical imaging models, and is the first dataset to label uterus orientation explicitly. Metadata from the annotations is provided.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Medical Image Segmentation Techniques Anatomy and Medical Technology

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
19 January 2026
Language
EN
Document type
Dataset