Multi-Layered Basis Pursuit Algorithms for Classification of MR Images of Knee ACL Tear

Deep learning architectures have been extensively used in recent years for the classification of biomedical images to assist clinicians for diagnosis and treatment management of patients with different health conditions. These architectures have demonstrated expert level diagnosis, and in some cases...

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Veröffentlicht in:	IEEE access Jg. 8; S. 205424 - 205435
Hauptverfasser:	Wahid, Abdul, Shah, Jawad Ali, Khan, Adnan Umar, Ullah, Mukhtar, Ayob, Mohd Zaki
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Arthritis Artificial neural networks Basis pursuit Classification Classification algorithms Coding Datasets Deep learning Diagnosis Dictionaries Empirical analysis Image acquisition Image classification Injuries Iterative algorithms iterative shrinkage algorithms Knee knee MR image classification Machine learning Medical diagnosis Medical imaging multi-layer convolutional sparse coding Multilayers Pursuit algorithms Regularization Surgical implants Task analysis
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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