胎儿
超声波
产科
医学
怀孕
放射科
生物
遗传学
作者
Xavier P. Burgos-Artizzu,David Coronado-Gutiérrez,Brenda Valenzuela‐Alcaráz,Elisenda Bonet-Carné,E. Eixarch,F. Crispi,E. Gratacós
出处
期刊:CERN European Organization for Nuclear Research - Zenodo
日期:2020-06-23
被引量:10
标识
DOI:10.5281/zenodo.3904280
摘要
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.
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