Artificial Intelligence Reveals Distinct Prognostic Subgroups of Muscle-Invasive Bladder Cancer on Histology Images

SIMPLE SUMMARY: This study developed an interpretable scoring system using artificial intelligence and bladder tissue images. It identified two distinct risk groups with different outcomes in high-grade bladder cancer. The scoring system was associated with various molecular features and gene mutati...

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Detalles Bibliográficos
Autores principales: Eminaga, Okyaz, Leyh-Bannurah, Sami-Ramzi, Shariat, Shahrokh F., Krabbe, Laura-Maria, Lau, Hubert, Xing, Lei, Abbas, Mahmoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605516/
https://www.ncbi.nlm.nih.gov/pubmed/37894365
http://dx.doi.org/10.3390/cancers15204998

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605516/
https://www.ncbi.nlm.nih.gov/pubmed/37894365
http://dx.doi.org/10.3390/cancers15204998

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