Dataset Open Access
FETAL_PLANES_DB: Common maternal-fetal ultrasound images
Burgos-Artizzu, Xavier P.;
Coronado-Gutierrez, David;
Valenzuela-Alcaraz, Brenda;
Bonet-Carne, Elisenda;
Eixarch, Elisenda;
Crispi, Fatima;
Gratacós, Eduard
A large dataset of routinely acquired maternal-fetal screening ultrasound images collected from two different hospitals by several operators and ultrasound machines. All images were manually labeled by an expert maternal fetal clinician. Images are divided into 6 classes: four of the most widely used fetal anatomical planes (Abdomen, Brain, Femur and Thorax), the mother’s cervix (widely used for prematurity screening) and a general category to include any other less common image plane. Fetal brain images are further categorized into the 3 most common fetal brain planes (Trans-thalamic, Trans-cerebellum, Trans-ventricular) to judge fine grain categorization performance. Meta information (patient number, us machine, operator) is also provided, as well as the training-test split used in the Nature Sci Rep paper.
| Name | Size | |
|---|---|---|
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FETAL_PLANES_ZENODO.zip
md5:2a5fcc2cefb789bcc0f6c1f73e0ea43f |
2.1 GB | Download |
Burgos-Artizzu, X.P., et al. Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planes. Sci Rep 10, 10200 (2020). https://doi.org/10.1038/s41598-020-67076-5
| All versions | This version | |
|---|---|---|
| Views | 7,034 | 7,034 |
| Downloads | 3,879 | 3,879 |
| Data volume | 8.1 TB | 8.1 TB |
| Unique views | 6,055 | 6,055 |
| Unique downloads | 2,600 | 2,600 |
- Publication date:
- June 23, 2020
- DOI:
-
- Keyword(s):
- medical imaging fetal images ultrasound
- Published in:
- Nature Scientific Reports: 10 pp. 10200.
- Related identifiers:
- Derived from
- 10.1038/s41598-020-67076-5 (Journal article)
- License (for files):
- Creative Commons Attribution 4.0 International