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High throughput screening for mammography using a human-computer interface with Rapid Serial Visual Presentation (RSVP)

Hope, C, Sterr, A, Elangovan, P, Geades, N, Windridge, D, Wells, K and Young, K (2013) High throughput screening for mammography using a human-computer interface with Rapid Serial Visual Presentation (RSVP) Proceedings of SPIE - Medical Imaging, 8673.

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Abstract

The steady rise of the breast cancer screening population, coupled with data expansion produced by new digital screening technologies (tomosynthesis/CT) motivates the development of new, more efficient image screening processes. Rapid Serial Visual Presentation (RSVP) is a new fast-content recognition approach which uses electroencephalography to record brain activity elicited by fast bursts of image data. These brain responses are then subjected to machine classification methods to reveal the expert's 'reflex' response to classify images according to their presence or absence of particular targets. The benefit of this method is that images can be presented at high temporal rates (∼10 per second), faster than that required for fully conscious detection, facilitating a high throughput of image (screening) material. In the present paper we present the first application of RSVP to medical image data, and demonstrate how cortically coupled computer vision can be successfully applied to breast cancer screening. Whilst prior RSVP work has utilised multichannel approaches, we also present the first RSVP results demonstrating discriminatory response on a single electrode with a ROC area under the curve of 0.62-0.86 using a simple Fisher discriminator for classification. This increases to 0.75-0.94 when multiple electrodes are used in combination. © 2013 SPIE.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Hope, CUNSPECIFIEDUNSPECIFIED
Sterr, AUNSPECIFIEDUNSPECIFIED
Elangovan, PUNSPECIFIEDUNSPECIFIED
Geades, NUNSPECIFIEDUNSPECIFIED
Windridge, DUNSPECIFIEDUNSPECIFIED
Wells, KUNSPECIFIEDUNSPECIFIED
Young, KUNSPECIFIEDUNSPECIFIED
Date : 2013
Identification Number : 10.1117/12.2007557
Additional Information : Copyright 2013 Proc. SPIE 8673, Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. Chris Hope, Annette Sterr, Premkumar Elangovan, Nicholas Geades, David Windridge, Ken Young and Kevin Wells, "High throughput screening for mammography using a human-computer interface with rapid serial visual presentation (RSVP)", Proc. SPIE 8673, Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment (2013); doi:10.1117/12.2007557
Depositing User : Symplectic Elements
Date Deposited : 23 Jan 2014 15:06
Last Modified : 26 Sep 2014 13:33
URI: http://epubs.surrey.ac.uk/id/eprint/804796

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