Heterogeneous ensemble with information theoretic diversity measure for human epithelial cell image classification.
In this work, we propose a heterogeneous committee (ensemble) of diverse members (classification approaches) to solve the problem of human epithelial (HEp-2) cell image classification using indirect Immunofluorescence (IIF) imaging. We hypothesize that an ensemble involving different feature represe...
| Published in: | Medical & Biological Engineering & Computing Vol. 59; no. 5; pp. 1035 - 1055 |
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| Main Authors: | , |
| Format: | Journal Article |
| Published: |
Springer Nature
May2021
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| Online Access: | View this record in EBSCOhost |