RHLNet: Robust Hybrid Loss-based Network for Low-Dose CT Image Denoising

Low-dose computed tomography (LDCT) is a viable solution for clinical diagnosis despite noise and artifacts degrading diagnostic quality. Additionally, patients are protected from excessive X-ray radiation dose during the repeated CT scans obtained by normal-dose CT (NDCT). The data-driven deep lear...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2024, p.1-1
Hauptverfasser:	Saidulu, Naragoni, Muduli, Priya Ranjan, Dasgupta, Anirban
Format:	Artikel
Sprache:	eng
Schlagworte:	Computed tomography Convolution Deep and shallow networks Ensemble Learning Huber reconstruction loss Image reconstruction Lattice residual block Lattices Linear programming Low-dose CT denoising Noise Noise reduction
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