Multimodal ultrasound fusion network for differentiating between benign and malignant solid renal tumors

Objective: We aim to establish a deep learning model called multimodal ultrasound fusion network (MUF-Net) based on gray-scale and contrast-enhanced ultrasound (CEUS) images for classifying benign and malignant solid renal tumors automatically and to compare the model’s performance with the assessme...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Dongmei, Li, Junyu, Li, Yan, Wu, Ji, Zhu, Lin, Li, Jian, Wang, Zimo, Xu, Jinfeng, Dong, Fajin, Cheng, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Molecular Biosciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488515/
https://www.ncbi.nlm.nih.gov/pubmed/36148014
http://dx.doi.org/10.3389/fmolb.2022.982703

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488515/
https://www.ncbi.nlm.nih.gov/pubmed/36148014
http://dx.doi.org/10.3389/fmolb.2022.982703

Ejemplares similares