Development of ultrasound-based clinical, radiomics and deep learning fusion models for the diagnosis of benign and malignant soft tissue tumors

Development of ultrasound-based clinical, radiomics and deep learning fusion models for the diagnosis of benign and malignant soft tissue tumors

ObjectivesThe aim of this study is to develop an ultrasound-based fusion model of clinical, radiomics and deep learning (CRDL) for accurate diagnosis of benign and malignant soft tissue tumors (STTs)MethodsIn this retrospective study, ultrasound images and clinical data of patients with STTs from tw...

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Bibliographic Details
Main Authors: Xinpeng Dai, Haiyong Lu, Xinying Wang, Bingxin Zhao, Zongjie Liu, Tao Sun, Feng Gao, Peng Xie, Hong Yu, Xin Sui
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Oncology
Subjects:
deep learning
fusion model
radiomics
soft tissue tumors
ultrasound
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1443029/full
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https://www.frontiersin.org/articles/10.3389/fonc.2024.1443029/full

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