New variational image decomposition model for simultaneously denoising and segmenting optical coherence tomography images

Research article (Physics in Medicine and Biology, 2015) · cited 25× · AI/ML
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New variational image decomposition model for simultaneously denoising and segmenting optical coherence tomography images

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New variational image decomposition model for simultaneously denoising and segmenting optical coherence tomography images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). New variational image decomposition model for simultaneously denoising and segmenting optical coherence tomography images. Retrieved May 24, 2026, from https://4ort.xyz/entity/new-variational-image-decomposition-model-for-simultaneously-denoising-and-segmenting-optical-coherence-tomography-image
MLA “New variational image decomposition model for simultaneously denoising and segmenting optical coherence tomography images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/new-variational-image-decomposition-model-for-simultaneously-denoising-and-segmenting-optical-coherence-tomography-image.
BibTeX @misc{4ortxyz_new-variational-image-decomposition-model-for-simultaneously-denoising-and-segmenting-optical-coherence-tomography-image_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{New variational image decomposition model for simultaneously denoising and segmenting optical coherence tomography images}}, year = {2026}, url = {https://4ort.xyz/entity/new-variational-image-decomposition-model-for-simultaneously-denoising-and-segmenting-optical-coherence-tomography-image}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): New variational image decomposition model for simultaneously denoising and segmenting optical coherence tomography images — https://4ort.xyz/entity/new-variational-image-decomposition-model-for-simultaneously-denoising-and-segmenting-optical-coherence-tomography-image (retrieved 2026-05-24)

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