Discovering Digital Tumor Signatures—Using Latent Code Representations to Manipulate and Classify Liver Lesions

SIMPLE SUMMARY: We use a generative deep learning paradigm for the identification of digital signatures in radiological imaging data. The model is trained on a small inhouse data set and evaluated on publicly available data. Apart from using the learned signatures for the characterization of lesions...

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Detalles Bibliográficos
Autores principales: Kleesiek, Jens, Kersjes, Benedikt, Ueltzhöffer, Kai, Murray, Jacob M., Rother, Carsten, Köthe, Ullrich, Schlemmer, Heinz-Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269051/
https://www.ncbi.nlm.nih.gov/pubmed/34206336
http://dx.doi.org/10.3390/cancers13133108

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269051/
https://www.ncbi.nlm.nih.gov/pubmed/34206336
http://dx.doi.org/10.3390/cancers13133108

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