GHA-DenseNet prediction and diagnosis of malignancy in femoral bone tumors using magnetic resonance imaging

GHA-DenseNet prediction and diagnosis of malignancy in femoral bone tumors using magnetic resonance imaging

Background and objective: Due to their aggressive nature and poor prognosis, malignant femoral bone tumors present considerable hurdles. Early treatment commencement is essential for enhancing vital and practical outcomes. In this investigation, deep learning algorithms will be used to analyze magne...

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Bibliographic Details
Main Authors: Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Xiadong Li, Jianbing Xiahou
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Journal of Bone Oncology
Subjects:
Deep convolutional network model
Attention module
Magnetic resonance imaging
Bone tumour
GHA-DenseNet
Online Access:http://www.sciencedirect.com/science/article/pii/S2212137423000532

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http://www.sciencedirect.com/science/article/pii/S2212137423000532

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