Application of multiple-finding segmentation utilizing Mask R-CNN-based deep learning in a rat model of drug-induced liver injury

Drug-induced liver injury (DILI) presents significant diagnostic challenges, and recently artificial intelligence-based deep learning technology has been used to predict various hepatic findings. In this study, we trained a set of Mask R-CNN-based deep algorithms to learn and quantify typical toxica...

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Detalles Bibliográficos
Autores principales: Baek, Eun Bok, Lee, Jaeku, Hwang, Ji-Hee, Park, Heejin, Lee, Byoung-Seok, Kim, Yong-Bum, Jun, Sang-Yeop, Her, Jun, Son, Hwa-Young, Cho, Jae-Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579263/
https://www.ncbi.nlm.nih.gov/pubmed/37845356
http://dx.doi.org/10.1038/s41598-023-44897-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579263/
https://www.ncbi.nlm.nih.gov/pubmed/37845356
http://dx.doi.org/10.1038/s41598-023-44897-8

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