Lu Yaosheng, Zhou Mengqiang, Zhi Dengjiang, Zhou Minghong, Jiang Xiaosong, Qiu Ruiyu, Ou Zhanhong, Wang Huijin, Qiu Di, Zhong Mei, Lu Xiaoxing, Chen Gaowen, Bai Jieyun
College of Information Science and Technology, Jinan University, Guangzhou 510632, China.
The First Affiliated Hospital of Jinan University, Guangzhou 510632, China.
Data Brief. 2022 Feb 2;41:107904. doi: 10.1016/j.dib.2022.107904. eCollection 2022 Apr.
The use of transperineal ultrasound techniques for the assessment of fetal head descent and progression is an adjunct to clinical examination. Automatic identification of parameters based on ultrasound images will greatly reduce the subjectivity and non-repeatability of the clinician's judgment. However, the lack of a pubic symphysis-fetal head dataset hinders the development of algorithms. Here, we present an intrapartum transperineal ultrasound dataset of the Intelligent Fetal Monitoring Lab of Jinan University (named the JNU-IFM dataset), in which intrapartum transperineal ultrasound videos of 78 were recorded from 51 patients. These data were obtained with the Youkey D8 wireless 2D ultrasound probe with its corresponding supporting software by Wuhan Youkey Bio-Medical Electronics Co., Ltd., Wuhan, China. In these videos, 6224 high-quality images with four categories were selected to form the JNU- IFM dataset. These images were labelled using the Pair software and then validated by two experienced radiologists. We hope that this data set can be used in the segmentation of the pubic symphysis-fetal head.
使用经会阴超声技术评估胎头下降和进展情况是临床检查的一项辅助手段。基于超声图像自动识别参数将大大降低临床医生判断的主观性和不可重复性。然而，缺乏耻骨联合-胎头数据集阻碍了算法的发展。在此，我们展示了暨南大学智能胎儿监测实验室的产时经会阴超声数据集（命名为JNU-IFM数据集），其中记录了51例患者的78段产时经会阴超声视频。这些数据是使用中国武汉友科生物医学电子有限公司的友科D8无线二维超声探头及其相应的支持软件获取的。在这些视频中，选择了6224张具有四类的高质量图像来形成JNU-IFM数据集。这些图像使用Pair软件进行标注，然后由两位经验丰富的放射科医生进行验证。我们希望这个数据集可用于耻骨联合-胎头的分割。
