Saliency-based 3D convolutional neural network for categorising common focal liver lesions on multisequence MRI

BACKGROUND: The imaging features of focal liver lesions (FLLs) are diverse and complex. Diagnosing FLLs with imaging alone remains challenging. We developed and validated an interpretable deep learning model for the classification of seven categories of FLLs on multisequence MRI and compared the dif...

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Detalles Bibliográficos
Autores principales: Wang, Shu-Hui, Han, Xin-Jun, Du, Jing, Wang, Zhen-Chang, Yuan, Chunwang, Chen, Yinan, Zhu, Yajing, Dou, Xin, Xu, Xiao-Wei, Xu, Hui, Yang, Zheng-Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613326/
https://www.ncbi.nlm.nih.gov/pubmed/34817732
http://dx.doi.org/10.1186/s13244-021-01117-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613326/
https://www.ncbi.nlm.nih.gov/pubmed/34817732
http://dx.doi.org/10.1186/s13244-021-01117-z

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