Low-dose CT reconstruction using dataset-free learning

Low-Dose computer tomography (LDCT) is an ideal alternative to reduce radiation risk in clinical applications. Although supervised-deep-learning-based reconstruction methods have demonstrated superior performance compared to conventional model-driven reconstruction algorithms, they require collectin...

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Veröffentlicht in:	PloS one 2024-06, Vol.19 (6), p.e0304738
Hauptverfasser:	Wang, Feng, Wang, Renfang, Qiu, Hong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biology and Life Sciences Comparative analysis Computational efficiency Computed tomography Computer and Information Sciences CT imaging Datasets Deep Learning Engineering and Technology Humans Image enhancement Image Processing, Computer-Assisted - methods Image quality Image reconstruction Learning Machine learning Medical imaging Medical imaging equipment Medicine and Health Sciences Methods Neural networks Neural Networks, Computer Optimization Physical Sciences Radiation Radiation Dosage Research and Analysis Methods Source code Technology application Tomography, X-Ray Computed - methods Wavelet transforms
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