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Scatter correction of cone-beam CT using a deep residual convolution neural network (DRCNN)

Research article (Physics in Medicine and Biology, 2019) · cited 62× · AI/ML
academia openalex:W2947819416
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Scatter correction of cone-beam CT using a deep residual convolution neural network (DRCNN)

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Scatter correction of cone-beam CT using a deep residual convolution neural network (DRCNN) is a scholarly article[1].

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  • Scatter correction of cone-beam CT using a deep residual convolution neural network (DRCNN)'s instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Scatter correction of cone-beam CT using a deep residual convolution neural network (DRCNN). Retrieved May 24, 2026, from https://4ort.xyz/entity/scatter-correction-of-cone-beam-ct-using-a-deep-residual-convolution-neural-network-drcnn
MLA “Scatter correction of cone-beam CT using a deep residual convolution neural network (DRCNN).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scatter-correction-of-cone-beam-ct-using-a-deep-residual-convolution-neural-network-drcnn.
BibTeX @misc{4ortxyz_scatter-correction-of-cone-beam-ct-using-a-deep-residual-convolution-neural-network-drcnn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Scatter correction of cone-beam CT using a deep residual convolution neural network (DRCNN)}}, year = {2026}, url = {https://4ort.xyz/entity/scatter-correction-of-cone-beam-ct-using-a-deep-residual-convolution-neural-network-drcnn}, note = {Accessed: 2026-05-24}}
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