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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |