Deep learning enables automated scoring of liver fibrosis stages

Current liver fibrosis scoring by computer-assisted image analytics is not fully automated as it requires manual preprocessing (segmentation and feature extraction) typically based on domain knowledge in liver pathology. Deep learning-based algorithms can potentially classify these images without th...

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Detalles Bibliográficos
Autores principales: Yu, Yang, Wang, Jiahao, Ng, Chan Way, Ma, Yukun, Mo, Shupei, Fong, Eliza Li Shan, Xing, Jiangwa, Song, Ziwei, Xie, Yufei, Si, Ke, Wee, Aileen, Welsch, Roy E., So, Peter T. C., Yu, Hanry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207665/
https://www.ncbi.nlm.nih.gov/pubmed/30375454
http://dx.doi.org/10.1038/s41598-018-34300-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207665/
https://www.ncbi.nlm.nih.gov/pubmed/30375454
http://dx.doi.org/10.1038/s41598-018-34300-2

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