SOURCE-LINKED INTELLIGENCE

Multi-label versus multi-class classification of blood cells and their aggregates in microfluidic channels

arXiv · AI, language, vision and robotics · article · Sep 7, 2026 · UTC

Deformability cytometry (DC) is a type of imaging flow cytometry, which uses a camera-equipped device to measure cellular stiffness in addition to other cellular properties at high throughput. Cellular properties such as area and elongation can identify cell types, but this requires prior knowledge of distinguishing properties and cannot be applied to clinically important cell aggregates. Using DC data, we evaluated conventional multi-class (MC) classification and introduced a multi-label (ML) approach for identifying blood cells and their aggregates. In particular, an ML classifier can simult

Read original source ↗ Open in workspace

recordType

paper

region

Global