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An artificial intelligence model for the pathological diagnosis of invasion depth and histologic grade in bladder cancer
BACKGROUND: Accurate pathological diagnosis of invasion depth and histologic grade is key for clinical management in patients with bladder cancer (BCa), but it is labour-intensive, experience-dependent and subject to interobserver variability. Here, we aimed to develop a pathological artificial inte...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869632/ https://www.ncbi.nlm.nih.gov/pubmed/36691055 http://dx.doi.org/10.1186/s12967-023-03888-z |