ArticleData in brief2026
PFUS1: Premier pelvic floor ultrasound segmentation dataset. A resource for advancing research.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- PFUS1: Premier pelvic floor ultrasound segmentation dataset. A resource for advancing research.Data in brief · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article presents a curated dataset of transperineal pelvic floor ultrasound videos collected from 111 patients in a clinical setting using a Canon i700 Aplio® ultrasound system with a PVT-675 MV 3D probe. Each video captures the midsagittal view of pelvic floor organs at rest and during the Valsalva maneuver. Eight anatomical structures were manually annotated by an expert sonographer using the CVAT platform, resulting in pixel-level segmentation masks. The dataset is intended to support research in automated pelvic floor assessment, medical image segmentation, and dynamic organ tracking. To facilitate reuse, a public source code repository is provided with scripts for data loading, mask generation, and training of baseline deep learning models, including Feature Pyramid Networks (FPNs). This dataset represents the first annotated ultrasound video resources focused on pelvic floor anatomy and is designed to enable benchmarking, reproducibility, and methodological innovation in computer-assisted diagnosis and medical image analysis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.