A deep-learning algorithm to classify skin lesions from mpox virus infection

Undetected infection and delayed isolation of infected individuals are key factors driving the monkeypox virus (now termed mpox virus or MPXV) outbreak. To enable earlier detection of MPXV infection, we developed an image-based deep convolutional neural network (named MPXV-CNN) for the identificatio...

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Detalles Bibliográficos
Autores principales: Thieme, Alexander H., Zheng, Yuanning, Machiraju, Gautam, Sadee, Chris, Mittermaier, Mirja, Gertler, Maximilian, Salinas, Jorge L., Srinivasan, Krithika, Gyawali, Prashnna, Carrillo-Perez, Francisco, Capodici, Angelo, Uhlig, Maximilian, Habenicht, Daniel, Löser, Anastassia, Kohler, Maja, Schuessler, Maximilian, Kaul, David, Gollrad, Johannes, Ma, Jackie, Lippert, Christoph, Billick, Kendall, Bogoch, Isaac, Hernandez-Boussard, Tina, Geldsetzer, Pascal, Gevaert, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033450/
https://www.ncbi.nlm.nih.gov/pubmed/36864252
http://dx.doi.org/10.1038/s41591-023-02225-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033450/
https://www.ncbi.nlm.nih.gov/pubmed/36864252
http://dx.doi.org/10.1038/s41591-023-02225-7

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