Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Songtao Yuan"'
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 27:2432-2443
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 26:3872-3883
Automated layer segmentation plays an important role for retinal disease diagnosis in optical coherence tomography (OCT) images. However, the severe retinal diseases result in the performance degeneration of automated layer segmentation approaches. I
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 26:115-126
Retinal related diseases are the leading cause of vision loss, and severe retinal lesion causes irreversible damage to vision. Therefore, the automatic methods for retinal diseases detection based on medical images is essential for timely treatment.
Publikováno v:
IEEE Transactions on Medical Imaging. 42:329-329
Publikováno v:
IEEE transactions on medical imaging. 39(11)
We present an image projection network (IPN), which is a novel end-to-end architecture and can achieve 3D-to-2D image segmentation in optical coherence tomography angiography (OCTA) images. Our key insight is to build a projection learning module (PL
Publikováno v:
IEEE journal of biomedical and health informatics. 24(4)
The presence of hyperreflective foci (HFs) is related to retinal disease progression, and the quantity has proven to be a prognostic factor of visual and anatomical outcome in various retinal diseases. However, lack of efficient quantitative tools fo
Publikováno v:
OSA Continuum. 3:1751
Automatic assessment of neurosensory retinal detachment (NRD) plays an important role in the diagnosis and treatment for central serous chorioretinopathy (CSC). In this paper, we propose a novel residual multiple pyramid pooling network (RMPPNet) to
Fast and robust fovea detection framework for OCT images based on foveal avascular zone segmentation
Publikováno v:
OSA Continuum. 3:528
Fovea serves to be one of the crucial landmarks of the retina. The automatic detection of the foveal center in optical coherence tomography (OCT) images helps in diagnosing retinal diseases. However, challenges arise due to retinal structure damage a
Publikováno v:
IEEE journal of biomedical and health informatics. 23(1)
In this paper, an automatic method is reported for simultaneously segmenting layers and fluid in 3-D OCT retinal images of subjects suffering from central serous retinopathy. To enhance contrast between adjacent layers, multiscale bright and dark lay