Multimodal Lung Cancer Subtyping Using Deep Learning Neural Networks on Whole Slide Tissue Images and MALDI MSI

SIMPLE SUMMARY: For the effective treatment of lung cancer patients, correct tumor subtyping is of utmost importance, but it is often challenging in clinical routine. Using artificial intelligence and combining information from digital microscopy and matrix-assisted laser desorption/ionization mass...

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Detalles Bibliográficos
Autores principales: Janßen, Charlotte, Boskamp, Tobias, Le’Clerc Arrastia, Jean, Otero Baguer, Daniel, Hauberg-Lotte, Lena, Kriegsmann, Mark, Kriegsmann, Katharina, Steinbuß, Georg, Casadonte, Rita, Kriegsmann, Jörg, Maaß, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776684/
https://www.ncbi.nlm.nih.gov/pubmed/36551667
http://dx.doi.org/10.3390/cancers14246181

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776684/
https://www.ncbi.nlm.nih.gov/pubmed/36551667
http://dx.doi.org/10.3390/cancers14246181

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