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Proceedings Paper

Enhancing image classification models with multi-modal biomarkers
Author(s): Jesus J. Caban; David Liao; Jianhua Yao; Daniel J. Mollura; Bernadette Gochuico; Terry Yoo
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Paper Abstract

Currently, most computer-aided diagnosis (CAD) systems rely on image analysis and statistical models to diagnose, quantify, and monitor the progression of a particular disease. In general, CAD systems have proven to be effective at providing quantitative measurements and assisting physicians during the decision-making process. As the need for more flexible and effective CADs continues to grow, questions about how to enhance their accuracy have surged. In this paper, we show how statistical image models can be augmented with multi-modal physiological values to create more robust, stable, and accurate CAD systems. In particular, this paper demonstrates how highly correlated blood and EKG features can be treated as biomarkers and used to enhance image classification models designed to automatically score subjects with pulmonary fibrosis. In our results, a 3-5% improvement was observed when comparing the accuracy of CADs that use multi-modal biomarkers with those that only used image features. Our results show that lab values such as Erythrocyte Sedimentation Rate and Fibrinogen, as well as EKG measurements such as QRS and I:40, are statistically significant and can provide valuable insights about the severity of the pulmonary fibrosis disease.

Paper Details

Date Published: 9 March 2011
PDF: 9 pages
Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 79631T (9 March 2011); doi: 10.1117/12.878084
Show Author Affiliations
Jesus J. Caban, National Institutes of Health (United States)
David Liao, National Institutes of Health (United States)
Jianhua Yao, National Institutes of Health (United States)
Daniel J. Mollura, National Institutes of Health (United States)
Bernadette Gochuico, National Institutes of Health (United States)
Terry Yoo, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 7963:
Medical Imaging 2011: Computer-Aided Diagnosis
Ronald M. Summers; Bram van Ginneken, Editor(s)

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