GTCreator : a flexible annotation tool for image-based datasets
Bernal del Nozal, Jorge (Universitat Autònoma de Barcelona)
Histace, Aymeric (Universite de Cergy-Pointoise)
Masana, Marc (Centre de Visió per Computador)
Angermann, Quentin (Universite de Cergy-Pointoise)
Sánchez-Montes, Cristina (Hospital Clínic i Provincial de Barcelona)
Rodríguez De Miguel, Cristina (Hospital Clínic i Provincial de Barcelona)
Hammami, Maroua (Universite de Cergy-Pointoise)
García-Rodríguez, Ana (Hospital Clínic i Provincial de Barcelona)
Córdova, Henry (Hospital Clínic i Provincial de Barcelona)
Romain, Olivier (Universite de Cergy-Pointoise)
Fernández-Esparrach, Gloria (Hospital Clínic i Provincial de Barcelona)
Dray, Xavier (University of Cergy-Pontoise)
Sánchez, F. Javier (Centre de Visió per Computador)

Data:	2019
Resum:	Purpose:: Methodology evaluation for decision support systems for health is a time-consuming task. To assess performance of polyp detection methods in colonoscopy videos, clinicians have to deal with the annotation of thousands of images. Current existing tools could be improved in terms of flexibility and ease of use. Methods:: We introduce GTCreator, a flexible annotation tool for providing image and text annotations to image-based datasets. It keeps the main basic functionalities of other similar tools while extending other capabilities such as allowing multiple annotators to work simultaneously on the same task or enhanced dataset browsing and easy annotation transfer aiming to speed up annotation processes in large datasets. Results:: The comparison with other similar tools shows that GTCreator allows to obtain fast and precise annotation of image datasets, being the only one which offers full annotation editing and browsing capabilites. Conclusion:: Our proposed annotation tool has been proven to be efficient for large image dataset annotation, as well as showing potential of use in other stages of method evaluation such as experimental setup or results analysis.
Ajuts:	Instituto de Salud Carlos III PI17/00894 Agencia Estatal de Investigación TIN2016-79717-R Ministerio de Economía y Competitividad DPI2015- 65286-R Generalitat de Catalunya 2017/SGR-1669 Generalitat de Catalunya 2017/SGR-653 Generalitat de Catalunya 2017/FIB-00218
Nota:	Altres ajuts: this work has been funded by CERCA programme.
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Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Matèria:	Annotation tool ; Benchmark ; Colonoscopy ; Evaluation ; Validation framework ; Data Curation/methods ; Datasets as Topic ; Humans ; Image Processing, Computer-Assisted/methods ; Intestinal Polyps/diagnosis ; Software
Publicat a:	International Journal of Computer Assisted Radiology and Surgery, Vol. 14, Num. 2 (February 2019) , p. 191-201, ISSN 1861-6429

DOI: 10.1007/s11548-018-1864-x
PMID: 30255462

Postprint 14 p, 2.7 MB

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