A multiple instance learning approach for detecting COVID-19 in peripheral blood smears.
A wide variety of diseases are commonly diagnosed via the visual examination of cell morphology within a peripheral blood smear. For certain diseases, such as COVID-19, morphological impact across the multitude of blood cell types is still poorly understood. In this paper, we present a multiple inst...
Main Authors: | , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-08-01
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Series: | PLOS Digital Health |
Online Access: | https://doi.org/10.1371/journal.pdig.0000078 |