The imageCLEFmed medical image retrieval task test collection

William Hersh; Henning Müller; Jayashree Kalpathy-Cramer

doi:10.1007/s10278-008-9154-8

The imageCLEFmed medical image retrieval task test collection

William Hersh
, Henning Müller
, Jayashree Kalpathy-Cramer

Medical Informatics and Clinical Epidemiology

Research output: Contribution to journal › Review article › peer-review

42 Scopus citations

Abstract

A growing number of clinicians, educators, researchers, and others use digital images in their work and search for them via image retrieval systems. Yet, this area of information retrieval is much less understood and developed than searching for text-based content, such as biomedical literature and its derivations. The goal of the ImageCLEF medical image retrieval task (ImageCLEFmed) is to improve understanding and system capability in search for medical images. In this paper, we describe the development and use of a medical image test collection designed to facilitate research with image retrieval systems and their users. We also provide baseline results with the new collection and describe them in the context of past research with portions of the collection.

Original language	English (US)
Pages (from-to)	648-655
Number of pages	8
Journal	Journal of Digital Imaging
Volume	22
Issue number	6
DOIs	https://doi.org/10.1007/s10278-008-9154-8
State	Published - Dec 2009

Funding

This work was supported by a supplement to National Science Foundation (NSF) grant ITR-0325160. We also acknowledge the Swiss National Funds (grant 200020-118638/1). Instructions for obtaining the data described in this paper can be obtained from the ImageCLEFmed Website ( http://ir.ohsu.edu/image/ ).

Funders	Funder number
Swiss National Funds	200020-118638/1
Author National Science Foundation National Science Foundation National Institutes of Health National Institutes of Health National Institutes of Health National Institutes of Health National Science Foundation National Science Foundation	ITR-0325160

Keywords

Eval
ImageCLEF
Medical image retrieval
Precision
Recall
Test collection

ASJC Scopus subject areas

Radiological and Ultrasound Technology
Radiology Nuclear Medicine and imaging
Computer Science Applications

Access to Document

10.1007/s10278-008-9154-8

Cite this

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title = "The imageCLEFmed medical image retrieval task test collection",

abstract = "A growing number of clinicians, educators, researchers, and others use digital images in their work and search for them via image retrieval systems. Yet, this area of information retrieval is much less understood and developed than searching for text-based content, such as biomedical literature and its derivations. The goal of the ImageCLEF medical image retrieval task (ImageCLEFmed) is to improve understanding and system capability in search for medical images. In this paper, we describe the development and use of a medical image test collection designed to facilitate research with image retrieval systems and their users. We also provide baseline results with the new collection and describe them in the context of past research with portions of the collection.",

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doi = "10.1007/s10278-008-9154-8",

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AB - A growing number of clinicians, educators, researchers, and others use digital images in their work and search for them via image retrieval systems. Yet, this area of information retrieval is much less understood and developed than searching for text-based content, such as biomedical literature and its derivations. The goal of the ImageCLEF medical image retrieval task (ImageCLEFmed) is to improve understanding and system capability in search for medical images. In this paper, we describe the development and use of a medical image test collection designed to facilitate research with image retrieval systems and their users. We also provide baseline results with the new collection and describe them in the context of past research with portions of the collection.

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KW - Precision

KW - Recall

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The imageCLEFmed medical image retrieval task test collection

Abstract

Funding

Keywords

ASJC Scopus subject areas

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