Fully automating LI-RADS on MRI with deep learning-guided lesion segmentation, feature characterization, and score inference

INTRODUCTION: Leveraging deep learning in the radiology community has great potential and practical significance. To explore the potential of fitting deep learning methods into the current Liver Imaging Reporting and Data System (LI-RADS) system, this paper provides a complete and fully automatic de...

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Detalles Bibliográficos
Autores principales: Wang, Ke, Liu, Yuehua, Chen, Hongxin, Yu, Wenjin, Zhou, Jiayin, Wang, Xiaoying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233056/
https://www.ncbi.nlm.nih.gov/pubmed/37274239
http://dx.doi.org/10.3389/fonc.2023.1153241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233056/
https://www.ncbi.nlm.nih.gov/pubmed/37274239
http://dx.doi.org/10.3389/fonc.2023.1153241

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