Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and discs in peripapillary OCT images
An accurate and automated tissue segmentation algorithm for retinal optical coherence
tomography (OCT) images is crucial for the diagnosis of glaucoma. However, due to the …
tomography (OCT) images is crucial for the diagnosis of glaucoma. However, due to the …
MsTGANet: Automatic drusen segmentation from retinal OCT images
Drusen is considered as the landmark for diagnosis of AMD and important risk factor for the
development of AMD. Therefore, accurate segmentation of drusen in retinal OCT images is …
development of AMD. Therefore, accurate segmentation of drusen in retinal OCT images is …
TSSK-Net: Weakly supervised biomarker localization and segmentation with image-level annotation in retinal OCT images
The localization and segmentation of biomarkers in OCT images are critical steps in retina-
related disease diagnosis. Although fully supervised deep learning models can segment …
related disease diagnosis. Although fully supervised deep learning models can segment …
Classification and segmentation of OCT images for age-related macular degeneration based on dual guidance networks
Age-related macular degeneration (AMD) is one of the main causes of visual impairment in
elderly people, with drusen and choroidal neovascularization (CNV) being two …
elderly people, with drusen and choroidal neovascularization (CNV) being two …
Graph attention U-Net for retinal layer surface detection and choroid neovascularization segmentation in OCT images
Choroidal neovascularization (CNV) is a typical symptom of age-related macular
degeneration (AMD) and is one of the leading causes for blindness. Accurate segmentation …
degeneration (AMD) and is one of the leading causes for blindness. Accurate segmentation …
GDCSeg-Net: general optic disc and cup segmentation network for multi-device fundus images
Accurate segmentation of optic disc (OD) and optic cup (OC) in fundus images is crucial for
the analysis of many retinal diseases, such as the screening and diagnosis of glaucoma and …
the analysis of many retinal diseases, such as the screening and diagnosis of glaucoma and …
Multi-scale local-global transformer with contrastive learning for biomarkers segmentation in retinal OCT images
Quantitative analysis of biomarkers in Optical Coherence Tomography (OCT) images plays
an import role in the diagnosis and treatment of retinal diseases. However, biomarker …
an import role in the diagnosis and treatment of retinal diseases. However, biomarker …
A fine‐to‐coarse‐to‐fine weakly supervised framework for volumetric SD‐OCT image segmentation
Obtaining accurate segmentation of central serous chorioretinopathy in spectral‐domain
optical coherence tomography (SD‐OCT) is critical for the determination of the disease …
optical coherence tomography (SD‐OCT) is critical for the determination of the disease …
Reliable joint segmentation of retinal edema lesions in oct images
Focusing on the complicated pathological features, such as blurred boundaries, severe
scale differences between symptoms, background noise interference, etc., in the task of …
scale differences between symptoms, background noise interference, etc., in the task of …
Optical Encryption Using Attention-Inserted Physics-Driven Single-Pixel Imaging
WK Yu, SF Wang, KQ Shang - Sensors, 2024 - mdpi.com
Optical encryption based on single-pixel imaging (SPI) has made great advances with the
introduction of deep learning. However, the use of deep neural networks usually requires a …
introduction of deep learning. However, the use of deep neural networks usually requires a …