Different cell imaging methods did not significantly improve immune cell image classification performance
Taisaku Ogawa; Koji Ochiai; Tomoharu Iwata; Tomokatsu Ikawa; Taku Tsuzuki; Katsuyuki Shiroguchi; Koichi Takahashi · 2022 · PLOS ONE
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Developments in high-throughput microscopy have made it possible to collect huge amounts of cell image data that are difficult to analyse manually. Machine learning (e.g., deep learning) is often employed to automate the extraction of…
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Metadata source: Crossref · DOI 10.1371/journal.pone.0262397