医学
颈总动脉
超声波
模态(人机交互)
颈动脉
技术员
放射科
分割
人工智能
计算机视觉
核医学
颈动脉疾病
超声成像
颈动脉分叉
计算机科学
患者数据
标识
DOI:10.17632/d4xt63mgjm.1
摘要
The dataset consists of aquistified ultrasound images of the common carotid artery. The images were taken from a Mindary UMT-500Plus ultrasound machine with an L13-3s linear probe. The study group consisted of 11 subjects, with each person examined at least once on the left and right sides. 2 subjects were examined using the vascular modality and 8 using the carotid modality. Time series (DICOM) were converted to png files and cropped appropriately. Each person had 100 images, making a total of 1100 images. The dataset also includes corresponding expert masks (corresponding file name) made by a technician and verified by an expert. The collection can be used for carotid artery segmentation and geometry measurement and evaluation. Image resolution: 709 x 749 x 3 Number of images: 2200 File format: PNG
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