Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT - Wikidata - wikimedia - TriplyDB

Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT

Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT

http://www.wikidata.org/entity/Q35672582

about

Choroidal Thickness and Choroidal Vessel Density in Nonexudative Age-Related Macular Degeneration Using Swept-Source Optical Coherence Tomography Imaging.Ultra-Short-Term Reproducibility of Speckle-Noise Freed Fluid and Tissue Compartmentalization of the Choroid Analyzed by Standard OCT Hypoxia-induced metabolic stress in retinal pigment epithelial cells is sufficient to induce photoreceptor degeneration.Choroidal Vascularity Index in Vogt-Koyanagi-Harada Disease: An EDI-OCT Derived Tool for Monitoring Disease Progression.4D Graph-Based Segmentation for Reproducible and Sensitive Choroid Quantification From Longitudinal OCT Scans.Open-source algorithm for automatic choroid segmentation of OCT volume reconstructions.Impact of optical coherence tomography scanning density on quantitative analyses in neovascular age-related macular degeneration.Validation of Macular Choroidal Thickness Measurements from Automated SD-OCT Image Segmentation.Novel method using 3-dimensional segmentation in spectral domain-optical coherence tomography imaging in the chick reveals defocus-induced regional and time-sensitive asymmetries in the choroidal thickness.Outer Segment Thickness Predicts Visual Field Response to QLT091001 in Patients with RPE65 or LRAT Mutations.Choroidal thickness measured using swept-source optical coherence tomography is reduced in patients with type 2 diabetes.Choroidal thickness maps from spectral domain and swept source optical coherence tomography: algorithmic versus ground truth annotation.Choroidal vasculature characteristics based choroid segmentation for enhanced depth imaging optical coherence tomography images.Choroidal vascular changes in age-related macular degeneration.

P2860

Q36193820-4F66FBAF-D1FC-4854-AE2D-8417B4DFE6D6 Q36302408-92B0012D-689B-4DE3-96C3-9A474196040D Q36844624-1E295FE2-115F-4441-B20C-FEF035A79773 Q37146633-1DB3D45D-2B13-489C-A043-D70A6506B97B Q37560967-C77DE002-A666-4C71-A5B3-1845AE841381 Q37633549-49D0AF39-D0B4-44CF-83FC-F5D1DF9B7301 Q39136242-030990D8-5B7E-4D83-A21D-E8A76ED403C4 Q39351509-5F4A434A-F73E-439E-90CC-8CEB25A38B12 Q39531651-8066B12B-B3E1-4018-917C-07B727C6F856 Q41279930-09F5705D-A567-4379-89B6-745BF7C6BA98 Q48113893-3F9F415E-263B-4AD8-90AA-D5BB1967F7B3 Q49191798-EA115187-1484-4C77-89F4-6EA84EE3FDF4 Q50676079-D2EE5854-AB5C-4297-8DCF-7912EF07016B Q52882609-A3D86AF2-AA1B-4AFD-81F2-1A33E4F65394

P2860

Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT

http://www.wikidata.org/entity/Q35672582

description

2015 nî lūn-bûn

@nan

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

2015年论文

@zh

2015年论文

@zh-cn

name

Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT

@ast

Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT

@en

type

label

Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT

@ast

Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT

@en

prefLabel

Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT

@ast

Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT

@en

P1433

Q35672582-EAEEFBA3-4B76-4BBD-AFA3-30DA4C652DA7

P1476

Q35672582-BF78F637-8D21-4518-BC91-3500C0FF61B8

P2093

Q35672582-0E45429C-BB42-4B8D-B7CB-9E1CA9A6841A

Q35672582-1FB0C1F4-0A7C-4B00-A77A-279544A7D31E

Q35672582-352CB548-4E80-4DE8-A15E-37A53395F672

Q35672582-3AD15E44-A662-4206-BA77-56CF8DF70615

Q35672582-48775D84-B350-40EC-8F35-E55ACA4981E4

Q35672582-9A17F31B-6CE5-4AB2-9A60-A596EEECBA0D

Q35672582-E77DDBA2-30D6-4088-8798-E1B1E1B1EE1F

Q35672582-EAFC2E75-CD71-4B03-9089-2B4A7AD021E2

P2860

Q35672582-0202424C-5F35-4DEC-A1BF-F5A1B430D1BF

Q35672582-0AA502E4-6AF3-4CAA-B8AC-782183920BD5

Q35672582-1E66117E-E351-4204-9A85-70ED368D8039

Q35672582-25406122-2E78-4B6B-8AAE-C83429483EBA

Q35672582-28563683-7A72-4A83-A173-7856BE4AF50F

Q35672582-3B3EAC2F-396C-4891-9DB5-85BC2FFB59F7

Q35672582-48C39BC0-54B6-4863-B986-255FF6B4B803

Q35672582-5E1206E3-C10F-475C-B2D3-DD3DFF918775

Q35672582-5EC1839D-D591-4182-9802-A40066527F02

Q35672582-63FC9247-B7A4-4567-B0D8-4BF9078B9BCD

P304

Q35672582-A3E4DAD3-3A78-49DF-8C2B-26368AE42DD7

P31

Q35672582-E8861FEC-EB5D-4750-A655-1460C2B4BE88

P356

Q35672582-C9976167-27B4-4D24-9290-4798E64546D9

P407

Q35672582-84F071E9-7171-40E5-B0B6-C4B93B45F3B0

P433

Q35672582-03AB1050-0BB2-47A5-BDEE-0B2CCC9DDCBD

P478

Q35672582-7B66DDA7-C0EE-4B34-9C4B-A4536A51CCC1

P50

Q35672582-23E1A82A-F8E5-41DC-91FE-BA212E3BA3A6

Q35672582-8D922903-DDAB-4C41-9855-87B8E4D45675

Q35672582-E889A41D-BF32-47EC-96A4-30A7901BBE15

P577

Q35672582-F3A6C5F1-58EE-4806-BD8B-968506285738

P698

Q35672582-12D9D0B6-4FCB-45CD-B0F3-D7AB101164B5

P932

Q35672582-886DA659-5864-4284-88F7-D9D131B40665

P356

P1433

Investigative Ophthalmology & Visual Science

P1476

Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT

@en

P2093

Caroline C W Klaver

http://www.w3.org/2001/XMLSchema#string

Gabriëlle H S Buitendijk

http://www.w3.org/2001/XMLSchema#string

Henriët Springelkamp

http://www.w3.org/2001/XMLSchema#string

Johannes R Vingerling

http://www.w3.org/2001/XMLSchema#string

Kyungmoo Lee

http://www.w3.org/2001/XMLSchema#string

Li Zhang

http://www.w3.org/2001/XMLSchema#string

Michael D Abràmoff

http://www.w3.org/2001/XMLSchema#string

Milan Sonka

http://www.w3.org/2001/XMLSchema#string

P2860

The multifunctional choroid

Measurement of subfoveal choroidal thickness using spectral domain optical coherence tomography.

Automated 3-D intraretinal layer segmentation of macular spectral-domain optical coherence tomography images.

LOGISMOS--layered optimal graph image segmentation of multiple objects and surfaces: cartilage segmentation in the knee joint.

Current concepts in the pathogenesis of age-related macular degeneration.

Automated segmentation of the choroid from clinical SD-OCT.

Automatic segmentation of the choroid in enhanced depth imaging optical coherence tomography images.

Three-dimensional segmentation of fluid-associated abnormalities in retinal OCT: probability constrained graph-search-graph-cut

Adjustment of the retinal angle in SD-OCT of glaucomatous eyes provides better intervisit reproducibility of peripapillary RNFL thickness.

Optimal surface segmentation in volumetric images--a graph-theoretic approach.

P304

3202-3211

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1167/IOVS.14-15669

http://www.w3.org/2001/XMLSchema#string

P407

P433

5

http://www.w3.org/2001/XMLSchema#string

P478

56

http://www.w3.org/2001/XMLSchema#string

P50

Henriët Springelkamp

Robert F. Mullins

P577

2015-05-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

26024104

http://www.w3.org/2001/XMLSchema#string

P932

4451615

http://www.w3.org/2001/XMLSchema#string