Abstract
The use of deep learning and other machine learning techniques requires large amounts of annotated image data. There exist several tools to annotate images, however to our knowledge there are no tools made specifically for medical ultrasound (US) images. As US is a temporal imaging modality it is essential for such a tool to handle image sequences/videos. To make annotation of US images as easy and efficient as possible, we made a web-based tool called Annotation Web (AW) enabling image classification, segmentation, bounding box and landmark annotation of ultrasound videos. We have now open-sourced this tool, making it available to everyone for free, and we invite the community to use it 1 1 https://github.com/smistad/annotationweb/.