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

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...

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Bibliographic Details
Main Authors: Dongmei Zhu, Junyu Li, Yan Li, Ji Wu, Lin Zhu, Jian Li, Zimo Wang, Jinfeng Xu, Fajin Dong, Jun Cheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Molecular Biosciences
Subjects:
renal tumor
artificial intelligence
classification
deep learning
contrast-enhanced ultrasound
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2022.982703/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2022.982703/full

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