Deep Learning-Based End-to-End Diagnosis System for Avascular Necrosis of Femoral Head

As the first diagnostic imaging modality of avascular necrosis of the femoral head (AVNFH), accurately staging AVNFH from a plain radiograph is critical yet challenging for orthopedists. Thus, we propose a deep learning-based AVNFH diagnosis system (AVN-net). The proposed AVN-net reads plain radiogr...

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Bibliographic Details
Main Authors:	Li, Y. (Author), Tian, H. (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:	Application scenario area under the curve Article avascular necrosis Avascular necrosis of the femoral head bioinformatics bootstrapping Cell death clinical decision making Clinical decision making clinical decision-making Clinical experience Computer aided diagnosis convolutional neural network Convolutional neural networks Decision making deep convolutional neural network deep learning Deep learning Deep Learning Deep neural networks diagnosis Diagnosis performance Diagnosis support Diagnosis systems Diagnostic accuracy diagnostic imaging Diagnostic imaging education assistance femoral head Femur Head femur head necrosis Femur Head Necrosis human Humans information processing knowledge Learning systems machine learning measurement accuracy medical education nuclear magnetic resonance imaging orthopedic specialist Prospective Studies prospective study radiography Radiography receiver operating characteristic sensitivity and specificity support vector machine training validation process visual field
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View Fulltext in Publisher

Deep Learning-Based End-to-End Diagnosis System for Avascular Necrosis of Femoral Head

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