[HTML][HTML] IMI—the dynamic choroid: new insights, challenges, and potential significance for human myopia
The choroid is the richly vascular layer of the eye located between the sclera and Bruch's
membrane. Early studies in animals, as well as more recent studies in humans, have …
membrane. Early studies in animals, as well as more recent studies in humans, have …
Deep learning in retinal optical coherence tomography (OCT): A comprehensive survey
Retinal optical coherence tomography (OCT) images provide fundamental information
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …
A comparison of deep learning U-Net architectures for posterior segment OCT retinal layer segmentation
Deep learning methods have enabled a fast, accurate and automated approach for retinal
layer segmentation in posterior segment OCT images. Due to the success of semantic …
layer segmentation in posterior segment OCT images. Due to the success of semantic …
Y-net: A spatiospectral dual-encoder network for medical image segmentation
Automated segmentation of retinal optical coherence tomography (OCT) images has
become an important recent direction in machine learning for medical applications. We …
become an important recent direction in machine learning for medical applications. We …
Deep ensemble learning for automated non-advanced AMD classification using optimized retinal layer segmentation and SD-OCT scans
Background Accurate retinal layer segmentation in optical coherence tomography (OCT)
images is crucial for quantitatively analyzing age-related macular degeneration (AMD) and …
images is crucial for quantitatively analyzing age-related macular degeneration (AMD) and …
MRI-based radiomics in breast cancer: feature robustness with respect to inter-observer segmentation variability
RWY Granzier, NMH Verbakel, A Ibrahim… - scientific reports, 2020 - nature.com
Radiomics is an emerging field using the extraction of quantitative features from medical
images for tissue characterization. While MRI-based radiomics is still at an early stage, it …
images for tissue characterization. While MRI-based radiomics is still at an early stage, it …
A deep learning method for automatic segmentation of the bony orbit in MRI and CT images
This paper proposes a fully automatic method to segment the inner boundary of the bony
orbit in two different image modalities: magnetic resonance imaging (MRI) and computed …
orbit in two different image modalities: magnetic resonance imaging (MRI) and computed …
Wide‐field choroidal thickness and vascularity index in myopes and emmetropes
Purpose To study regional variations in choroidal thickness (CT), luminal thickness and
stromal thickness of the choroid, and choroidal vascularity index (CVI) in low myopic and …
stromal thickness of the choroid, and choroidal vascularity index (CVI) in low myopic and …
Automatic segmentation and visualization of choroid in OCT with knowledge infused deep learning
The choroid provides oxygen and nourishment to the outer retina thus is related to the
pathology of various ocular diseases. Optical coherence tomography (OCT) is …
pathology of various ocular diseases. Optical coherence tomography (OCT) is …
A review of low-cost and portable optical coherence tomography
Optical coherence tomography (OCT) is a powerful optical imaging technique capable of
visualizing the internal structure of biological tissues at near cellular resolution. For years …
visualizing the internal structure of biological tissues at near cellular resolution. For years …