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Lee Lab Digital Research Archive
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deep learning
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(NIH R01AG067228) Long-Term Tracking of Cerebral Microvascular Structural and Functional Alterations between Normal and Alzheimer's Aging
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Optical coherence tomography angiography
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deep learning
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MATLAB script to enhance, segment and vectorize 3D OCT microangiograms
Description:
We propose a set of deep learning approaches based on convolutional neural networks (CNNs) to automated enhancement, segmentation and gap-correction of OCTA images, especially of …
Year:
2021
Contributor:
Stefan, Sabina (Author)
Lee, Jonghwan (Author)
Subject:
deep learning
Optical coherence tomography angiography
OCTA
Segmentation
Microvasculature
Collection:
Brown University Open Data Collection
Lee Lab Digital Research Archive
(NIH R01AG067228) Long-Term Tracking of Cerebral Microvascular Structural and Functional Alterations between Normal and Alzheimer's Aging
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