Research Repository

Overview of the ImageCLEF 2015 medical classification task

Garcia Seco De Herrera, Alba and Müller, Henning and Bromuri, Stefano (2015) Overview of the ImageCLEF 2015 medical classification task. In: CLEF 2015 - Conference and Labs of the Evaluation forum, 2015-09-08 - 2015-09-11, Toulouse, France.

172-CR.pdf - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview


This articles describes the ImageCLEF 2015 Medical Clas-sification task. The task contains several subtasks that all use a dataset of figures from the biomedical open access literature (PubMed Cen-tral). Particularly compound figures are targeted that are frequent inthe literature. For more detailed information analysis and retrieval it isimportant to extract targeted information from the compound figures.The proposed tasks include compound figure detection (separating com-pound from other figures), multi–label classification (define all sub typespresent), figure separation (find boundaries of the subfigures) and modal-ity classification (detecting the figure type of each subfigure). The tasksare described with the participation of international research groups inthe tasks. The results of the participants are then described and analysedto identify promising techniques.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Working Notes of CLEF 2015 – Cross Language Evaluation Forum, CEUR
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 22 Jan 2020 21:23
Last Modified: 23 Sep 2022 19:21

Actions (login required)

View Item View Item