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Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer

SIMPLE SUMMARY: Prostate cancer has very varied appearances when examined under the microscope, and it is difficult to distinguish clinically significant cancer from indolent disease. In this study, we use computer analyses inspired by neurons, so-called ‘neural networks’, to gain new insights into...

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Detalles Bibliográficos
Autores principales:	Chelebian, Eduard, Avenel, Christophe, Kartasalo, Kimmo, Marklund, Maja, Tanoglidi, Anna, Mirtti, Tuomas, Colling, Richard, Erickson, Andrew, Lamb, Alastair D., Lundeberg, Joakim, Wählby, Carolina
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507756/ https://www.ncbi.nlm.nih.gov/pubmed/34638322 http://dx.doi.org/10.3390/cancers13194837

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