Computational pathology reveals unique spatial patterns of immune response in H&E images from COVID-19 autopsies: preliminary findings

Purpose: We used computerized image analysis and machine learning approaches to characterize spatial arrangement features of the immune response from digitized autopsied H&E tissue images of the lung in coronavirus disease 2019 (COVID-19) patients. Additionally, we applied our approach to tease...

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Dettagli Bibliografici
Pubblicato in:J Med Imaging (Bellingham)
Autori principali: Corredor, Germán, Toro, Paula, Bera, Kaustav, Rasmussen, Dylan, Viswanathan, Vidya Sankar, Buzzy, Christina, Fu, Pingfu, Barton, Lisa M., Stroberg, Edana, Duval, Eric, Gilmore, Hannah, Mukhopadhyay, Sanjay, Madabhushi, Anant
Natura: Artigo
Lingua:Inglês
Pubblicazione: Society of Photo-Optical Instrumentation Engineers 2021
Soggetti:
Digital Pathology
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC8277566/
https://ncbi.nlm.nih.gov/pubmed/34268443
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.8.S1.017501
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