2019
DOI: 10.1007/978-3-030-34135-0_17
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Tracking of Non-rigid Motion in 3D Medical Imaging with Ellipsoidal Mapping and Germinal Center Optimization

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“…GCO GCO is a new metaheuristic optimization algorithm proposed by Villaseñor; it is a novel multivariate continuous optimization algorithm inspired by the germinal center (GC) reaction [59]. The GCs, where B lymphocytes (B cells) and other immune cells are bounded by inactive B cells that form in the presence of an infection, can be divided into two zones: a dark zone, where clonal expansion occurs and somatic cells are located, and a light zone, where competition for Ag internalization and helper T-cell binding occurs [60].…”
Section: Gco-svcmentioning
confidence: 99%
“…GCO GCO is a new metaheuristic optimization algorithm proposed by Villaseñor; it is a novel multivariate continuous optimization algorithm inspired by the germinal center (GC) reaction [59]. The GCs, where B lymphocytes (B cells) and other immune cells are bounded by inactive B cells that form in the presence of an infection, can be divided into two zones: a dark zone, where clonal expansion occurs and somatic cells are located, and a light zone, where competition for Ag internalization and helper T-cell binding occurs [60].…”
Section: Gco-svcmentioning
confidence: 99%