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Three-dimensional optical coherence tomography image denoising through multi-input fully-convolutional networks

Research article (Computers in Biology and Medicine, 2019) · cited 45× · AI/ML
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Summary

Three-dimensional optical coherence tomography image denoising through multi-input fully-convolutional networks is a scholarly article[1].

Key Facts

  • Three-dimensional optical coherence tomography image denoising through multi-input fully-convolutional networks's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Three-dimensional optical coherence tomography image denoising through multi-input fully-convolutional networks. Retrieved October 18, 2026, from https://4ort.xyz/entity/three-dimensional-optical-coherence-tomography-image-denoising-through-multi-input-fully-convolutional-networks
MLA “Three-dimensional optical coherence tomography image denoising through multi-input fully-convolutional networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/three-dimensional-optical-coherence-tomography-image-denoising-through-multi-input-fully-convolutional-networks.
BibTeX @misc{4ortxyz_three-dimensional-optical-coherence-tomography-image-denoising-through-multi-input-fully-convolutional-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Three-dimensional optical coherence tomography image denoising through multi-input fully-convolutional networks}}, year = {2026}, url = {https://4ort.xyz/entity/three-dimensional-optical-coherence-tomography-image-denoising-through-multi-input-fully-convolutional-networks}, note = {Accessed: 2026-10-18}}
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