Digital labeling for 3D histology: segmenting blood vessels without a vascular contrast agent using deep learning is a research paper published in Biomedical Optics Express (2023). On theSindex it has a DataRank of 0. It has been cited 13 times.
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American Heart Association
Grant: 916963
National Institutes of Health
Grant: R01EB028635
National Institutes of Health
Grant: R01HL126747
National Institutes of Health
Grant: S10-OD024996
U.S. Department of Defense
Grant: W81XWH2110659
NIH HHS
Grant: S10 OD024996
National Institutes of Health
Grant: 1S10OD024996-01
Leica SP8 Confocal with Hyvolution2 Deconvolution
National Institutes of Health
Grant: 5R01HL126747-05
Optical Tools to Assess the Role of Hemodynamics in the Development of Congenital Heart Defects
National Institutes of Health
Grant: 5R01EB028635-03
3D Microscopy with Ultraviolet Surface Excitation (3D-MUSE)
FWCI
2.06
Citation Percentile
0.9%
Influential Citations
1
Citation Trend
Fields of Study
Keywords
Digital labeling of coronary microvasculature using deep learning
Digital labeling of coronary microvasculature using deep learning