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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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