Renal Cancer Detection: Fusing Deep and Texture Features from Histopathology Images

Histopathological images contain morphological markers of disease progression that have diagnostic and predictive values, with many computer-aided diagnosis systems using common deep learning methods that have been proposed to save time and labour. Even though deep learning methods are an end-to-end...

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Detalles Bibliográficos
Autores principales: Cai, Jianxiu, Liu, Manting, Zhang, Qi, Shao, Ziqi, Zhou, Jingwen, Guo, Yongjian, Liu, Juan, Wang, Xiaobin, Zhang, Bob, Li, Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979690/
https://www.ncbi.nlm.nih.gov/pubmed/35386304
http://dx.doi.org/10.1155/2022/9821773

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979690/
https://www.ncbi.nlm.nih.gov/pubmed/35386304
http://dx.doi.org/10.1155/2022/9821773

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