Staining independent Bayes classifier for automated cell pattern recognition

Xinhua Zhuang; James Lee; Yan Huang; Alan C. Nelson

doi:10.1117/12.148671

29 July 1993 Staining independent Bayes classifier for automated cell pattern recognition

Xinhua Zhuang, James Lee, Yan Huang, Alan C. Nelson

Proceedings Volume 1905, Biomedical Image Processing and Biomedical Visualization; (1993) https://doi.org/10.1117/12.148671
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

Designing the optimal Bayes classifier for automated cell pattern recognition faces two major difficulties: (1) modeling and learning the conditional probabilities P(cell features--cell type) (2) developing staining independent strategies to handle staining dependent cell features while learning those conditional probabilities. In this paper, we will show such modeling and learning techniques as well as staining independent strategies. The result of the strategies tested on an automated system designed for cervical smear screening will also be reported.

Citation Download Citation

Xinhua Zhuang, James Lee, Yan Huang, and Alan C. Nelson "Staining independent Bayes classifier for automated cell pattern recognition", Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); https://doi.org/10.1117/12.148671

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