[PDF][PDF] A Comprehensive Review of Image Segmentation Techniques.
Image segmentation is a wide research topic; a huge amount of research has been
performed in this context. Image segmentation is a crucial procedure for most object …
performed in this context. Image segmentation is a crucial procedure for most object …
Pathogenesis of non-infectious uveitis elucidated by recent genetic findings
M Takeuchi, N Mizuki, S Ohno - Frontiers in immunology, 2021 - frontiersin.org
Uveitis is a generic term for inflammation of the uvea, which includes the iris, ciliary body,
and choroid. Prevalence of underlying non-infectious uveitis varies by race and region and …
and choroid. Prevalence of underlying non-infectious uveitis varies by race and region and …
DL-CNN-based approach with image processing techniques for diagnosis of retinal diseases
Artificial intelligence has the potential to revolutionize disease diagnosis, classification, and
identification. However, the implementation of clinical-decision support algorithms for …
identification. However, the implementation of clinical-decision support algorithms for …
[HTML][HTML] PAX6 genotypic and retinal phenotypic characterization in congenital aniridia
Methods: The study included 37 participants (15 males) with congenital aniridia (aged 10–
72 years) and 58 age-matched normal controls (18 males). DNA was isolated from saliva …
72 years) and 58 age-matched normal controls (18 males). DNA was isolated from saliva …
Extraction of retinal layers through convolution neural network (CNN) in an OCT image for glaucoma diagnosis
Glaucoma is a progressive and deteriorating optic neuropathy that leads to visual field
defects. The damage occurs as glaucoma is irreversible, so early and timely diagnosis is of …
defects. The damage occurs as glaucoma is irreversible, so early and timely diagnosis is of …
Joint diabetic macular edema segmentation and characterization in OCT images
The automatic identification and segmentation of edemas associated with diabetic macular
edema (DME) constitutes a crucial ophthalmological issue as they provide useful …
edema (DME) constitutes a crucial ophthalmological issue as they provide useful …
Retinal boundary segmentation in stargardt disease optical coherence tomography images using automated deep learning
Purpose: To use a deep learning model to develop a fully automated method (fully semantic
network and graph search [FS-GS]) of retinal segmentation for optical coherence …
network and graph search [FS-GS]) of retinal segmentation for optical coherence …
Robust multi-view approaches for retinal layer segmentation in glaucoma patients via transfer learning
Background Glaucoma is the leading global cause of irreversible blindness. Glaucoma
patients experience a progressive deterioration of the retinal nervous tissues that begins …
patients experience a progressive deterioration of the retinal nervous tissues that begins …
Seasonal variation in diurnal rhythms of the human eye: implications for continuing ocular growth in adolescents and young adults
Purpose: To investigate the diurnal rhythms in the human eye in winter and summer in
southeast Norway (latitude 60 N). Methods: Eight measures (epochs) of intraocular …
southeast Norway (latitude 60 N). Methods: Eight measures (epochs) of intraocular …
Livelayer: A semi-automatic software program for segmentation of layers and diabetic macular edema in optical coherence tomography images
Given the capacity of Optical Coherence Tomography (OCT) imaging to display structural
changes in a wide variety of eye diseases and neurological disorders, the need for OCT …
changes in a wide variety of eye diseases and neurological disorders, the need for OCT …