Recognizing pathology of renal tumor from macroscopic cross-section image by deep learning

OBJECTIVES: This study aims to develop and evaluate the deep learning-based classification model for recognizing the pathology of renal tumor from macroscopic cross-section image. METHODS: A total of 467 pathology-confirmed patients who received radical nephrectomy or partial nephrectomy were retros...

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Detalles Bibliográficos
Autores principales: Lin, Zefang, Yang, Weihong, Zhang, Wenqiang, Jiang, Chao, Chu, Jing, Yang, Jing, Yuan, Xiaoxu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854121/
https://www.ncbi.nlm.nih.gov/pubmed/36670469
http://dx.doi.org/10.1186/s12938-023-01064-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854121/
https://www.ncbi.nlm.nih.gov/pubmed/36670469
http://dx.doi.org/10.1186/s12938-023-01064-4

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