Leukocyte segmentation and classification in blood-smear images.
The detection and classification of leukocytes in blood smear images is a routine task in medical diagnosis. In this paper we present a fully automated approach to leukocyte segmentation that is robust with respect to cell appearance and image quality. A set of features is used to describe cytoplasm and nucleus properties. Pairwise SVM classification is used to discriminate between different cell types. Evaluation on a set of 1166 images (13 classes) resulted in 95% correct segmentations and 75% to 99% correct classification (with reject option).
Ramoser
Herbert
H
Advanced Computer Vision GmbH - ACV, Donau-City-Strasse 1, 1220 Wien, Austria, Email: herbert.ramoser@acv.ac.at.
Laurain
Vincent
V
Bischof
Horst
H
Ecker
Rupert
R