Experiences from the ImageCLEF medical retrieval and annotation tasks

Müller, Henning (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Kalpathy-Cramer, Jayashree (MGH Martinos Center for Biomedical Imaging, USA) ; García Seco de Herrera, Alba (University of Essex, UK)

The medical tasks in ImageCLEF have been run every year from 2004- 2018 and many different tasks and data sets have been used over these years. The created resources are being used by many researchers well beyond the actual evaluation campaigns and are allowing to compare the performance of many techniques on the same grounds and in a reproducible way. Many of the larger data sets are from the medical literature, as such images are easier to obtain and to share than clinical data, which was used in a few smaller ImageCLEF challenges that are specifically marked with the disease type and anatomic region. This chapter describes the main results of the various tasks over the years, including data, participants, types of tasks evaluated and also the lessons learned in organizing such tasks for the scientific community.


Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Cham, Springer
Date:
2019-08
Cham
Springer
Pagination:
19 p.
Published in:
Information Retrieval Evaluation in a Changing World : lessons learned from 20 Years of CLEF
Series Statement:
The information retrieval series book series, vol. 41
Author of the book:
Ferro Nicola ; ed. ; Dipartimento di Ingegneria dell'Informazione, Università delgi Studi di Padova, Italy
Peters, Carol ; ed. ; Consiglio Nazionale delle Ricerche, Istituto di Scienza e Tecnologie dell’Informazione, Pisa, Italy
DOI:
ISSN:
1387-5264
ISBN:
978-3-030-22947-4
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2019-10-21, last modified 2019-10-22

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