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Enhancing Image Quality of Low-Dose Dental CBCT Using Residual Encoder- Decoder Convolutional Neural Network (RED-CNN): A Comparative Study with Non-Local Means Denoising

2026-03-19

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<title>Abstract</title> <p>Objective To evaluate the effectiveness of Residual Encoder-Decoder Convolutional Neural Network (RED-CNN) in reducing noise and improving image quality in low-dose dental Cone-Beam Computed Tomography (CBCT), and to compare its performance with the conventional Non-Local Means (NLM) denoising algorithm. Methods A female head RANDO phantom was scanned using a dental CBCT system with h...

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Literature Corpus work: 0adbef56-0286-5ff1-baa5-9a05731f7839
DOI: 10.21203/rs.3.rs-8930014/v1

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