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Incorporating Contextual Information in White Blood Cell Identification

Song, Xubo and Abu-Mostafa, Yaser and Sill, Joseph and Kasdan, Harvey (1998) Incorporating Contextual Information in White Blood Cell Identification. In: Advances in Neural Information Processing Systems 10 (NIPS 1997). Advances in Neural Information Processing Systems. No.10. MIT Press , Cambrdige, MA, pp. 950-956. ISBN 0-262-10076-2.

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In this paper we propose a technique to incorporate contextual information into object classification. In the real world there are cases where the identity of an object is ambiguous due to the noise in the measurements based on which the classification should be made. It is helpful to reduce the ambiguity by utilizing extra information referred to as context, which in our case is the identities of the accompanying objects. This technique is applied to white blood cell classification. Comparisons are made against "no context" approach, which demonstrates the superior classification performance achieved by using context. In our particular application, it significantly reduces false alarm rate and thus greatly reduces the cost due to expensive clinical tests.

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Additional Information:© 1998 Massachusetts Institute of Technology. The authors would like to thank the members of Learning Systems Group at Caltech for helpful suggestions and advice: Dr. Amir Atiya, Zehra Cataltepe, Malik Magdon-Ismail, and Alexander Nicholson.
Series Name:Advances in Neural Information Processing Systems
Issue or Number:10
Record Number:CaltechAUTHORS:20160224-143921726
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:64743
Deposited On:24 Feb 2016 22:51
Last Modified:03 Oct 2019 09:40

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