Overview of the CLEF 2010 medical image retrieval track

Henning Müller, Jayashree Kalpathy-Cramer, Ivan Eggel, Steven Bedrick, Joe Reisetter, Charles E. Kahn, William (Bill) Hersh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

The seventh edition of the ImageCLEF medical retrieval task was organized in 2010. As in 2008 and 2009, the collection in 2010 uses images and captions from the Radiology and Radiographics journals published by RSNA (Radiological Society of North America). Three sub- tasks were conducted within the auspices of the medical task: modality detection, image-based retrieval and case-based retrieval. The goal of the modality detection task was to detect the acquisition modality of the images in the collection using visual, textual or mixed methods. The goal of the image-based retrieval task was to retrieve an ordered set of images from the collection that best met the information need specified as a textual statement and a set of sample images, while the goal of the case-based retrieval task was to return an ordered set of articles (rather than images) that best met the information need provided as a description of a "case". The number of registrations to the medical task increased to 51 research groups. However, groups submitting runs have remained stable at 16, with the number of submitted runs increasing to 155. Of these, 61 were ad-hoc runs, 48 were case-based runs while the remaining 46 were modality classification runs. The best results for the ad-hoc retrieval topics were obtained using mixed methods with textual methods also performing well. Textual methods were clearly superior for the case-based topics. For the modality detection task, although textual and visual methods alone were relatively successful, combining these techniques proved most effective.

Original languageEnglish (US)
Title of host publicationCLEF 2010 - Working Notes for CLEF 2010 Conference
PublisherCEUR-WS
Volume1176
StatePublished - 2010
Event2010 Cross Language Evaluation Forum Conference, CLEF 2010 - Padua, Italy
Duration: Sep 22 2010Sep 23 2010

Other

Other2010 Cross Language Evaluation Forum Conference, CLEF 2010
CountryItaly
CityPadua
Period9/22/109/23/10

Fingerprint

Radiology
Image retrieval

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Müller, H., Kalpathy-Cramer, J., Eggel, I., Bedrick, S., Reisetter, J., Kahn, C. E., & Hersh, W. B. (2010). Overview of the CLEF 2010 medical image retrieval track. In CLEF 2010 - Working Notes for CLEF 2010 Conference (Vol. 1176). CEUR-WS.

Overview of the CLEF 2010 medical image retrieval track. / Müller, Henning; Kalpathy-Cramer, Jayashree; Eggel, Ivan; Bedrick, Steven; Reisetter, Joe; Kahn, Charles E.; Hersh, William (Bill).

CLEF 2010 - Working Notes for CLEF 2010 Conference. Vol. 1176 CEUR-WS, 2010.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Müller, H, Kalpathy-Cramer, J, Eggel, I, Bedrick, S, Reisetter, J, Kahn, CE & Hersh, WB 2010, Overview of the CLEF 2010 medical image retrieval track. in CLEF 2010 - Working Notes for CLEF 2010 Conference. vol. 1176, CEUR-WS, 2010 Cross Language Evaluation Forum Conference, CLEF 2010, Padua, Italy, 9/22/10.
Müller H, Kalpathy-Cramer J, Eggel I, Bedrick S, Reisetter J, Kahn CE et al. Overview of the CLEF 2010 medical image retrieval track. In CLEF 2010 - Working Notes for CLEF 2010 Conference. Vol. 1176. CEUR-WS. 2010
Müller, Henning ; Kalpathy-Cramer, Jayashree ; Eggel, Ivan ; Bedrick, Steven ; Reisetter, Joe ; Kahn, Charles E. ; Hersh, William (Bill). / Overview of the CLEF 2010 medical image retrieval track. CLEF 2010 - Working Notes for CLEF 2010 Conference. Vol. 1176 CEUR-WS, 2010.
@inproceedings{d3bf4a721a164ba6b088c0bac56eb29f,
title = "Overview of the CLEF 2010 medical image retrieval track",
abstract = "The seventh edition of the ImageCLEF medical retrieval task was organized in 2010. As in 2008 and 2009, the collection in 2010 uses images and captions from the Radiology and Radiographics journals published by RSNA (Radiological Society of North America). Three sub- tasks were conducted within the auspices of the medical task: modality detection, image-based retrieval and case-based retrieval. The goal of the modality detection task was to detect the acquisition modality of the images in the collection using visual, textual or mixed methods. The goal of the image-based retrieval task was to retrieve an ordered set of images from the collection that best met the information need specified as a textual statement and a set of sample images, while the goal of the case-based retrieval task was to return an ordered set of articles (rather than images) that best met the information need provided as a description of a {"}case{"}. The number of registrations to the medical task increased to 51 research groups. However, groups submitting runs have remained stable at 16, with the number of submitted runs increasing to 155. Of these, 61 were ad-hoc runs, 48 were case-based runs while the remaining 46 were modality classification runs. The best results for the ad-hoc retrieval topics were obtained using mixed methods with textual methods also performing well. Textual methods were clearly superior for the case-based topics. For the modality detection task, although textual and visual methods alone were relatively successful, combining these techniques proved most effective.",
author = "Henning M{\"u}ller and Jayashree Kalpathy-Cramer and Ivan Eggel and Steven Bedrick and Joe Reisetter and Kahn, {Charles E.} and Hersh, {William (Bill)}",
year = "2010",
language = "English (US)",
volume = "1176",
booktitle = "CLEF 2010 - Working Notes for CLEF 2010 Conference",
publisher = "CEUR-WS",

}

TY - GEN

T1 - Overview of the CLEF 2010 medical image retrieval track

AU - Müller, Henning

AU - Kalpathy-Cramer, Jayashree

AU - Eggel, Ivan

AU - Bedrick, Steven

AU - Reisetter, Joe

AU - Kahn, Charles E.

AU - Hersh, William (Bill)

PY - 2010

Y1 - 2010

N2 - The seventh edition of the ImageCLEF medical retrieval task was organized in 2010. As in 2008 and 2009, the collection in 2010 uses images and captions from the Radiology and Radiographics journals published by RSNA (Radiological Society of North America). Three sub- tasks were conducted within the auspices of the medical task: modality detection, image-based retrieval and case-based retrieval. The goal of the modality detection task was to detect the acquisition modality of the images in the collection using visual, textual or mixed methods. The goal of the image-based retrieval task was to retrieve an ordered set of images from the collection that best met the information need specified as a textual statement and a set of sample images, while the goal of the case-based retrieval task was to return an ordered set of articles (rather than images) that best met the information need provided as a description of a "case". The number of registrations to the medical task increased to 51 research groups. However, groups submitting runs have remained stable at 16, with the number of submitted runs increasing to 155. Of these, 61 were ad-hoc runs, 48 were case-based runs while the remaining 46 were modality classification runs. The best results for the ad-hoc retrieval topics were obtained using mixed methods with textual methods also performing well. Textual methods were clearly superior for the case-based topics. For the modality detection task, although textual and visual methods alone were relatively successful, combining these techniques proved most effective.

AB - The seventh edition of the ImageCLEF medical retrieval task was organized in 2010. As in 2008 and 2009, the collection in 2010 uses images and captions from the Radiology and Radiographics journals published by RSNA (Radiological Society of North America). Three sub- tasks were conducted within the auspices of the medical task: modality detection, image-based retrieval and case-based retrieval. The goal of the modality detection task was to detect the acquisition modality of the images in the collection using visual, textual or mixed methods. The goal of the image-based retrieval task was to retrieve an ordered set of images from the collection that best met the information need specified as a textual statement and a set of sample images, while the goal of the case-based retrieval task was to return an ordered set of articles (rather than images) that best met the information need provided as a description of a "case". The number of registrations to the medical task increased to 51 research groups. However, groups submitting runs have remained stable at 16, with the number of submitted runs increasing to 155. Of these, 61 were ad-hoc runs, 48 were case-based runs while the remaining 46 were modality classification runs. The best results for the ad-hoc retrieval topics were obtained using mixed methods with textual methods also performing well. Textual methods were clearly superior for the case-based topics. For the modality detection task, although textual and visual methods alone were relatively successful, combining these techniques proved most effective.

UR - http://www.scopus.com/inward/record.url?scp=84922032418&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84922032418&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84922032418

VL - 1176

BT - CLEF 2010 - Working Notes for CLEF 2010 Conference

PB - CEUR-WS

ER -