Seadra : a fully customizable and user-friendly application for image annotation and segmentation - Algorithmes Parallèles et Optimisation
Conference Papers Year : 2024

Seadra : a fully customizable and user-friendly application for image annotation and segmentation

Abstract

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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Dates and versions

hal-04736268 , version 1 (14-10-2024)

Identifiers

Cite

Jules Morata, David Bernard, Kevin Cortacero, Clément Eloire, Mehdi Ech-Chouini, et al.. Seadra : a fully customizable and user-friendly application for image annotation and segmentation. 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS), Jun 2024, Guadalajara, France. pp.473-476, ⟨10.1109/CBMS61543.2024.00084⟩. ⟨hal-04736268⟩
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