Share Email Print
cover

Proceedings Paper

Complementary cumulative precision distribution: a new graphical metric for medical image retrieval system
Author(s): Jatindra Kumar Dash; Sudipta Mukhopadhyay; Niranjan Khandelwal
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Several single valued measures have been proposed by researchers for the quantitative performance evaluation of medical image retrieval systems. Precision and recall are the most common evaluation measures used by researchers. Amongst graphical measures proposed, precision vs. recall graph is the most common evaluation measure. Precision vs. recall graph evaluates di®erent systems by varying the operating points (number of top retrieval considered). However, in real life the operating point for di®erent applications are known. Therefore, it is essential to evaluate di®erent retrieval systems at a particular operating point set by the user. None of the graphical metric provides the variation of performance of query images over the entire database at a particular operating point. This paper proposes a graphical metric called Complementary Cumulative Precision Distribution (CCPD) that evaluates di®erent systems at a particular operating point considering each images in the database for query. The strength of the metric is its ability to represent all these measures pictorially. The proposed metric (CCPD) pictorially represents the di®erent possible values of precision and the fraction of query images at those precision values considering number of top retrievals constant. Di®erent scalar measures are derived from the proposed graphical metric (CCPD) for e®ective evaluation of retrieval systems. It is also observed that the proposed metric can be used as a tie breaker when the performance of di®erent methods are very close to each other in terms of average precision.

Paper Details

Date Published: 11 March 2014
PDF: 7 pages
Proc. SPIE 9037, Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, 90371S (11 March 2014); doi: 10.1117/12.2043156
Show Author Affiliations
Jatindra Kumar Dash, Indian Institute of Technology Kharagpur (India)
Sudipta Mukhopadhyay, Indian Institute of Technology Kharagpur (India)
Niranjan Khandelwal, Post Graduate Institute of Medical Education and Research (India)


Published in SPIE Proceedings Vol. 9037:
Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment
Claudia R. Mello-Thoms; Matthew A. Kupinski, Editor(s)

© SPIE. Terms of Use
Back to Top