Results 31 to 40 of about 594,306 (298)

Attention Guided U-Net With Atrous Convolution for Accurate Retinal Vessels Segmentation

IEEE Access, 2020
The accuracy of retinal vessels segmentation is of great significance for the diagnosis of cardiovascular diseases such as diabetes and hypertension. Especially, the segmentation accuracy of the end of vessels will be affected by the area outside the ...
Yan Lv, Hui Ma, Jianian Li, Shuangcai Liu   +3 more
doaj   +1 more source

A Survey of Deep Learning for Retinal Blood Vessel Segmentation Methods: Taxonomy, Trends, Challenges and Future Directions

IEEE Access, 2022
Recent advancements in deep learning architectures have extended their application to computer vision tasks, one of which is the segmentation of retinal blood vessels from retinal fundus images.
Olubunmi Omobola Sule
doaj   +1 more source

Successful resolution of coats disease by photodynamic therapy: a case report

BMC Ophthalmology, 2018
Background Coats disease is a retinal disease characterized by exudative retinal detachment due to abnormal retinal blood vessels. Coats disease is generally treated using laser photocoagulation and cryotherapy to ablate the abnormal retinal blood ...
Michie Namba, Yusuke Shiode, Yuki Morizane, Shuhei Kimura, Mio Hosokawa, Shinichiro Doi, Shinji Toshima, Kosuke Takahashi, Mika Hosogi, Atsushi Fujiwara, Fumio Shiraga   +10 more
doaj   +1 more source

Multimodal In Vivo Imaging of Retinal and Choroidal Vascular Occlusion

Photonics, 2022
Photoacoustic microscopy (PAM) is an emerging retinal imaging technique that can provide high spatial resolution and high contrast of chorioretinal vessels.
Van Phuc Nguyen, Tianye Zhu, Jessica Henry, Wei Zhang, Xueding Wang, Yannis M. Paulus   +5 more
doaj   +1 more source

HDC-Net: A hierarchical dilation convolutional network for retinal vessel segmentation.

PLoS ONE, 2021
The cardinal symptoms of some ophthalmic diseases observed through exceptional retinal blood vessels, such as retinal vein occlusion, diabetic retinopathy, etc.
Xiaolong Hu, Liejun Wang, Shuli Cheng, Yongming Li   +3 more
doaj   +1 more source

Scale-aware dense residual retinal vessel segmentation network with multi-output weighted loss

BMC Medical Imaging, 2023
Background Retinal vessel segmentation provides an important basis for determining the geometric characteristics of retinal vessels and the diagnosis of related diseases. The retinal vessels are mainly composed of coarse vessels and fine vessels, and the
Jiwei Wu, Shibin Xuan
doaj   +1 more source

Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal Vessels

IEEE Access, 2023
The presence of high blood sugar levels damages blood vessels and causes an eye condition called diabetic retinopathy. The ophthalmologist can detect this disease by looking at the variations in retinal blood vasculature.
Sabri Deari, Ilkay Oksuz, Sezer Ulukaya
doaj   +1 more source

Astrocyte-derived vascular endothelial growth factor stabilizes vessels in the developing retinal vasculature [PDF]

, 2010
Vascular endothelial growth factor (VEGF) plays a critical role in normal development as well as retinal vasculature disease. During retinal vascularization, VEGF is most strongly expressed by not yet vascularized retinal astrocytes, but also by retinal ...
Michael B. Powner, Powner, MB, Scott, A., Clarkin, C., Gandhi, P, Scott, Andrew, David H Gutmann, Randall S Johnson, Fruttiger, Marcus, Gutmann, DH, Johnson, RS, David H. Gutmann, Gutmann David H., Gutmann, David H., Powner Michael B., Gandhi, P., Scott Andrew, Clarkin Claire, Ferrara, N., Gandhi Pranita, Napoleone Ferrara, Johnson Randall S., Clarkin, Claire, Scott, A, Pranita Gandhi, Ferrara, Napoleone, Michael B Powner, Fruttiger Marcus, Gandhi, Pranita, Powner, Michael B., Ferrara Napoleone, Andrew Scott, Powner, M. B., Connon, Che John, Ferrara, N, Claire Clarkin, Clarkin, C, Fruttiger, M., Johnson, R.S., Gutmann, D.H., Fruttiger, M, Randall S. Johnson, Johnson, Randall S., Marcus Fruttiger   +43 more
core   +3 more sources

Systematic Development of AI-Enabled Diagnostic Systems for Glaucoma and Diabetic Retinopathy

IEEE Access, 2023
With the rapid advancements in artificial intelligence, particularly in machine learning and deep learning, automated disease diagnosis is becoming increasingly feasible.
Khursheed Aurangzeb, Rasha Sarhan Alharthi, Syed Irtaza Haider, Musaed Alhussein   +3 more
doaj   +1 more source

Micro-Vessel Image Segmentation Based on the AD-UNet Model

IEEE Access, 2019
Retinal vessel segmentation plays a vital role in computer-aided diagnosis and treatment of retinal diseases. Considering the low contrast between retinal vessels and the background image, complex structural information as well as blurred boundaries ...
Zhongming Luo, Yu Zhang, Lei Zhou, Binge Zhang, Jianan Luo, Haibin Wu   +5 more
doaj   +1 more source