scholarly journals Retinal blood vessel‐origin yes‐associated protein (YAP) governs astrocytic maturation via leukaemia inhibitory factor (LIF)

2020 ◽  
Vol 53 (2) ◽  
Author(s):  
Li‐Qian‐Yu Ai ◽  
Rong‐Di Yuan ◽  
Xi Chen ◽  
Yun‐Jia Liu ◽  
Wen‐Yi Liu ◽  
...  
Keyword(s):  
Blood Vessel ◽  
Inhibitory Factor ◽  
Leukaemia Inhibitory Factor ◽  
Retinal Blood Vessel

scholarly journals Retinal Vessel Segmentation by Deep Residual Learning with Wide Activation

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Yuliang Ma ◽  
Xue Li ◽  
Xiaopeng Duan ◽  
Yun Peng ◽  
Yingchun Zhang
Keyword(s):  
Blood Vessel ◽  
Blood Vessels ◽  
Area Under The Curve ◽  
Retinal Vessel ◽  
Vessel Segmentation ◽  
Superior Performance ◽  
Retinal Blood Vessel ◽  
Low Contrast ◽  
Blood Vessel Segmentation ◽  
Small Vessels

Purpose. Retinal blood vessel image segmentation is an important step in ophthalmological analysis. However, it is difficult to segment small vessels accurately because of low contrast and complex feature information of blood vessels. The objective of this study is to develop an improved retinal blood vessel segmentation structure (WA-Net) to overcome these challenges. Methods. This paper mainly focuses on the width of deep learning. The channels of the ResNet block were broadened to propagate more low-level features, and the identity mapping pathway was slimmed to maintain parameter complexity. A residual atrous spatial pyramid module was used to capture the retinal vessels at various scales. We applied weight normalization to eliminate the impacts of the mini-batch and improve segmentation accuracy. The experiments were performed on the DRIVE and STARE datasets. To show the generalizability of WA-Net, we performed cross-training between datasets. Results. The global accuracy and specificity within datasets were 95.66% and 96.45% and 98.13% and 98.71%, respectively. The accuracy and area under the curve of the interdataset diverged only by 1%∼2% compared with the performance of the corresponding intradataset. Conclusion. All the results show that WA-Net extracts more detailed blood vessels and shows superior performance on retinal blood vessel segmentation tasks.

scholarly journals Gradient based ant spread modification on ant colony optimization method for retinal blood vessel edge detection

2021 ◽  
Vol 1010 ◽  
pp. 012021
Author(s):  
F Liantoni ◽  
N F Rozi ◽  
T Indriyani ◽  
W M Rahmawati ◽  
R K Hapsari
Keyword(s):  
Blood Vessel ◽  
Edge Detection ◽  
Ant Colony Optimization ◽  
Optimization Method ◽  
Ant Colony ◽  
Retinal Blood Vessel ◽  
Gradient Based

scholarly journals Recent Techniques and Trends for Retinal Blood Vessel Extraction and Tortuosity Evaluation: A Comprehensive Review

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 197787-197816
Author(s):  
Alice Krestanova ◽  
Jan Kubicek ◽  
Marek Penhaker
Keyword(s):  
Blood Vessel ◽  
Retinal Blood Vessel ◽  
Comprehensive Review ◽  
Vessel Extraction

Retinal Blood Vessel Segmentation via Attention Gate Network

2020 ◽  
Author(s):  
Kaiqi Li ◽  
Zeyi Yao ◽  
Yiwen Luo ◽  
Xingqun Qi ◽  
Pengkun Liu ◽  
...  
Keyword(s):  
Blood Vessel ◽  
Vessel Segmentation ◽  
Retinal Blood Vessel ◽  
Blood Vessel Segmentation

Encoder Enhanced Atrous (EEA) Unet architecture for Retinal Blood vessel segmentation

2021 ◽  
Vol 67 ◽  
pp. 84-95
Author(s):  
Sathananthavathi V. ◽  
Indumathi G.
Keyword(s):  
Blood Vessel ◽  
Vessel Segmentation ◽  
Retinal Blood Vessel ◽  
Blood Vessel Segmentation

scholarly journals Microangiopathy in Ocular Sarcoidosis Using Fluorescein Gonio and Fundus Angiography from Diagnostic and Therapeutic Aspects

Diagnostics ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 39
Author(s):  
Teruhiko Hamanaka ◽  
Noriko Akabane ◽  
Tetsuro Sakurai ◽  
Soichiro Ikushima ◽  
Toshio Kumasaka ◽  
...  
Keyword(s):  
Blood Vessel ◽  
Pathological Examination ◽  
Fundus Fluorescein Angiography ◽  
Retinal Blood Vessel ◽  
Vessel Occlusion ◽  
Vascular Abnormalities ◽  
Ocular Sarcoidosis ◽  
Group I ◽  
Bilateral Hilar Lymphadenopathy ◽  
Iop Elevation

In this retrospective study, we investigated vascular abnormalities in sarcoidosis using fluorescein gonioangiography (FGA) to detect angle neovascularization (ANV), fundus fluorescein angiography (FFA), and pathological specimens from the aspects of microangiopathy. In 57 sarcoidosis patients, clinical data was reviewed by dividing the cases into three groups (Group I: histologically diagnosed; Group II: positive bilateral hilar lymphadenopathy (BHL); Group III: negative BHL). The FFA, FGA, and pathological examination data in the autopsy eyes and trabeculectomy specimens were investigated. FGA and FFA detected ANV (91%) and nodule-associated abnormalities (87%), respectively. No intraocular pressure (IOP) elevation was observed after continuous topical betamethasone, except in the steroid responder group. Maximum IOP had significant correlation with nodules in the angle (p = 0.02696) and visual field defect (p = 0.0151). Granulomas adjacent to blood vessels, including the Schlemm’s canal, and thickening of the retinal blood vessel wall caused occlusion of those vessels. Photocoagulation was required for retinal tears (14%) and the retinal blood vessel occlusion (7%). Suppression of IOP elevation via continuous topical betamethasone may be important to avoid irreversible outflow-route changes and optic-nerve damage, and the concept of microangiopathy in ocular sarcoidosis may be important for understanding the proper treatment of serious complications.

Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection

2020 ◽  
Vol 127 ◽  
pp. 104049
Author(s):  
José Escorcia-Gutierrez ◽  
Jordina Torrents-Barrena ◽  
Margarita Gamarra ◽  
Pedro Romero-Aroca ◽  
Aida Valls ◽  
...  
Keyword(s):  
Blood Vessel ◽  
Vessel Segmentation ◽  
Foveal Avascular Zone ◽  
Retinal Blood Vessel ◽  
Shape Constraints ◽  
Blood Vessel Segmentation ◽  
Avascular Zone
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