Overview of ImageCLEFtuberculosis 2022 : CT-based cavern detection and report
Kozlovski, Serge; Dicente Cid, Yashin; Kovalev, Vassili; Müller, Henning
2022

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Abstract

ImageCLEF is a part of the Conference and Labs of the Evaluation Forum (CLEF) initiative and includes avariety of tasks dedicated to multimodal image information retrieval, including image classification and annotation. The tuberculosis (TB) task is one of the ImageCLEF tasks that started in 2017 and changed from year to year with more complex challenges. The 2022 edition was dedicated to the automatic analysis of caverns, and included two subtasks: cavern region detection and cavern reporting. In 2022, 6 groups from 5 countries submitted at least one successful run for at least one subtask. This paper describes the TB task setup, data and the approaches of the participants.

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Title Overview of ImageCLEFtuberculosis 2022 : CT-based cavern detection and report
Author(s) Kozlovski, Serge (United Institute of Informatics Problems, Minsk, Belarus)
Dicente Cid, Yashin (Roche Diagnostics, Sant Cugat, Spain)
Kovalev, Vassili (United Institute of Informatics Problems, Minsk, Belarus)
Müller, Henning (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis) ; University of Geneva, Switzerland)
Date 2022-09
Published in CLEF 2022: Conference and Labs of the Evaluation Forum
Volume 3180
Issue 96
Pagination 10 p.
Presented at CLEF (Conference and Labs of the Evaluation Forum) 2022 Working Notes, Bologna, Italy, 2022-09-05, 2022-09-08
Keywords tuberculosis ; computed tomography ; image classification ; detection ; caverns ; 3D data analysis
Paper type published full paper
Faculty Economie et Services
School HEG-VS
Institute Institut Informatique de gestion
Record Appears in Conference materials
Global
External resources online version

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