Seadra : a fully customizable and user-friendly application for image annotation and segmentation
Résumé
With new technologies and advances in biology, practitioners are faced with an ever-growing amount of data. Among this data, images are of particular interest thanks to the ability to segment and annotate directly on the image. These annotations are time-consuming, but indispensable for machine learning methods. In this paper, for the sake of a project on oral cancer detection, we developed an application that aims to enable easy-to-use and customizable annotation of data. It also has the advantage to consider multimodal annotation, to be able to read complex formats which are useful in the medical field such as MIRAX for example and to be compatible with graphic tablets. This software is completely free to use and the whole implementation, along with the ready-to-use executables are available on Github. It can be useful for many others data-driven projects that need accurate annotation on images especially while having time constraints for the annotator.
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