Multimodal deep learning with MUF-net for noninvasive WHO/ISUP grading of renal cell carcinoma using CEUS and B-mode ultrasound

Multimodal deep learning with MUF-net for noninvasive WHO/ISUP grading of renal cell carcinoma using CEUS and B-mode ultrasound

ObjectiveThis study aimed to develop and validate a multimodal deep learning model that utilizes preoperative grayscale and contrast-enhanced ultrasound (CEUS) video data for noninvasive WHO/ISUP nuclear grading of renal cell carcinoma (RCC).MethodsIn this dual-center retrospective study, CEUS video...

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Bibliographic Details
Main Authors: Yixin Zhu, Ji Wu, Qiongxian Long, Yan Li, Hao Luo, Lu Pang, Lin Zhu, Hui Luo
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Physiology
Subjects:
renal tumor
artificial intelligence
classification
deep learning
WHO/ISUP grading system
contrast-enhanced ultrasound
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2025.1558997/full
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