Variance reduction for error estimation when classifying colon polyps from CT colonography

James D. Malley; Anna K. Jerebko; Meghan T Miller; Ronald M. Summers

doi:10.1117/12.485803

2 May 2003 Variance reduction for error estimation when classifying colon polyps from CT colonography

James D. Malley, Anna K. Jerebko, Meghan T Miller, Ronald M. Summers

Proceedings Volume 5031, Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications; (2003) https://doi.org/10.1117/12.485803
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

For cancer polyp detection based on CT colonography we investigate the sample variance of two methods for estimating the sensitivity and specificity. The goal is the reduction of sample variance for both error estimates, as a first step towards comparison with other detection schemes. Our detection scheme is based on a committee of support vector machines. The two estimates of sensitivity and specificity studied here are a smoothed bootstrap (the 632+ estimator), and ten-fold cross-validation. It is shown that the 632+ estimator generally has lower sample variance than the usual cross-validation estimator. When the number of nonpolyps in the training set is relatively small we obtain approximately 80% sensitivity and 50% specificity (for either method). On the other hand, when the number of nonpolyps in the training set is relatively large, estimated sensitivity (for either method) drops considerably. Finally, we consider the intertwined roles of relative sample sizes (polyp/nonpolyp), misclassification costs, and bias-variance reduction.

Citation Download Citation

James D. Malley, Anna K. Jerebko, Meghan T Miller, and Ronald M. Summers "Variance reduction for error estimation when classifying colon polyps from CT colonography", Proc. SPIE 5031, Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications, (2 May 2003); https://doi.org/10.1117/12.485803

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available