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  4. (NIH R01AG067228) Long-Term Tracking of Cerebral Microvascular Structural and Functional Alterations between Normal and Alzheimer's Aging

(NIH R01AG067228) Long-Term Tracking of Cerebral Microvascular Structural and Functional Alterations between Normal and Alzheimer's Aging

This collection is for the preservation and public dissemination of Lee Lab's digital research data and code files created and collected under the NIH National Institute on Aging-funded project "Long-Term Tracking of Cerebral Microvascular Structural and Functional Alterations between Normal and Alzheimer's Aging" (NIH R01AG067228). Please cite the digital object identifier (DOI) for this collection (https://doi.org/10.26300/ver4-p969 ) or assigned to the deposited resources accessed in this collection. For questions about a deposited resource please contact Professor Jonghwan Lee by email at [email protected].

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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
(NIH R01EY030569) Plasmonic Retinal Prosthesis
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