Seadra : a fully customizable and user-friendly application for image annotation and segmentation - Real Expression Artificial Life
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Communication Dans Un Congrès Année : 2024
Seadra : a fully customizable and user-friendly application for image annotation and segmentation
Jules Morata (1, 2, 3) , David Bernard (2, 3) , Kevin Cortacero (1, 2, 3) , Clément Eloire (1, 3) , Mehdi Ech-Chouini (1, 3) , Emmanuelle Vigarios (1) , Steven Ceccarel (1) , Delphine Comtesse-Maret (4) , Thomas Filleron (5, 1) , Sandrine Mouysset (6) , Sylvain Cussat-Blanc (7)
1 IUCT Oncopole - UMR 1037 - Institut Universitaire du Cancer de Toulouse - Oncopole (Av. Irène Joliot-Curie 31100 Toulouse - France)
"> IUCT Oncopole - UMR 1037 - Institut Universitaire du Cancer de Toulouse - Oncopole
2 CRCT - Centre de Recherches en Cancérologie de Toulouse (Centre de Recherches en Cancérologie de Toulouse 2 Avenue Hubert Curien 31037 Toulouse Cedex 1 FRANCE - France)
"> CRCT - Centre de Recherches en Cancérologie de Toulouse
3 IRIT - Institut de recherche en informatique de Toulouse (118 Route de Narbonne, F-31062 Toulouse Cedex 9 - France)
"> IRIT - Institut de recherche en informatique de Toulouse
4 CHU Toulouse - Centre Hospitalier Universitaire de Toulouse (regroupe les hôpitaux Purpan, Rangueil, Pierre-Paul Riquet, Larey, Paule de Viguier, Hôtel Dieu Saint-Jacques, La Grave, etc. - France)
"> CHU Toulouse - Centre Hospitalier Universitaire de Toulouse
5 ICR - Institut Claudius Regaud (France) "> ICR - Institut Claudius Regaud
6 IRIT-APO - Algorithmes Parallèles et Optimisation (Institut de recherche en informatique de Toulouse - IRIT 2 rue Charles Camichel 31071 Toulouse Cedex 7 - France) "> IRIT-APO - Algorithmes Parallèles et Optimisation
7 IRIT-REVA - Real Expression Artificial Life (Institut de recherche en informatique de Toulouse - IRIT 2 rue Charles Camichel 31071 Toulouse Cedex 7 - France) "> IRIT-REVA - Real Expression Artificial Life

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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Informatique [cs]
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Sandrine Mouysset  : Connectez-vous pour contacter le contributeur

https://hal.science/hal-04736268

Soumis le : lundi 14 octobre 2024-19:00:24

Dernière modification le : samedi 7 décembre 2024-10:48:03

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