ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images
For the clinical diagnosis, it is essential to obtain accurate morphology data of retinal blood
vessels from patients, and the morphology of retinal blood vessels can well help doctors to …
vessels from patients, and the morphology of retinal blood vessels can well help doctors to …
Dual encoder-based dynamic-channel graph convolutional network with edge enhancement for retinal vessel segmentation
Retinal vessel segmentation with deep learning technology is a crucial auxiliary method for
clinicians to diagnose fundus diseases. However, the deep learning approaches inevitably …
clinicians to diagnose fundus diseases. However, the deep learning approaches inevitably …
Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images
Accurate segmentation of retinal vessels from fundus images is fundamental for the
diagnosis of numerous diseases of eye, and an automated vessel segmentation method can …
diagnosis of numerous diseases of eye, and an automated vessel segmentation method can …
GDF-Net: A multi-task symmetrical network for retinal vessel segmentation
J Li, G Gao, L Yang, Y Liu - Biomedical Signal Processing and Control, 2023 - Elsevier
Retinal fundus vessels contain rich geometric features, including both thick and thin vessels,
which is particularly important for accurate clinical diagnosis of cardiovascular diseases …
which is particularly important for accurate clinical diagnosis of cardiovascular diseases …
Global transformer and dual local attention network via deep-shallow hierarchical feature fusion for retinal vessel segmentation
Clinically, retinal vessel segmentation is a significant step in the diagnosis of fundus
diseases. However, recent methods generally neglect the difference of semantic information …
diseases. However, recent methods generally neglect the difference of semantic information …
MAGF-Net: A multiscale attention-guided fusion network for retinal vessel segmentation
J Li, G Gao, Y Liu, L Yang - Measurement, 2023 - Elsevier
Retinal fundus images contain plenty of morphological information, so it is particularly
important to realize precise segmentation of the retinal vessels for clinical diagnosis. With …
important to realize precise segmentation of the retinal vessels for clinical diagnosis. With …
Progressive perception learning for main coronary segmentation in X-ray angiography
Main coronary segmentation from the X-ray angiography images is important for the
computer-aided diagnosis and treatment of coronary disease. However, it confronts the …
computer-aided diagnosis and treatment of coronary disease. However, it confronts the …
Integrated lithium niobate microwave photonic processing engine
Integrated microwave photonics (MWP) is an intriguing technology for the generation,
transmission and manipulation of microwave signals in chip-scale optical systems,. In …
transmission and manipulation of microwave signals in chip-scale optical systems,. In …
Study group learning: Improving retinal vessel segmentation trained with noisy labels
Retinal vessel segmentation from retinal images is an essential task for developing the
computer-aided diagnosis system for retinal diseases. Efforts have been made on high …
computer-aided diagnosis system for retinal diseases. Efforts have been made on high …
MFI-Net: Multiscale feature interaction network for retinal vessel segmentation
Segmentation of retinal vessels on fundus images plays a critical role in the diagnosis of
micro-vascular and ophthalmological diseases. Although being extensively studied, this task …
micro-vascular and ophthalmological diseases. Although being extensively studied, this task …