Results 31 to 40 of about 220,384 (141)

Formula-Driven Data Augmentation and Partial Retinal Layer Copying for Retinal Layer Segmentation [PDF]

arXiv
Major retinal layer segmentation methods from OCT images assume that the retina is flattened in advance, and thus cannot always deal with retinas that have changes in retinal structure due to ophthalmopathy and/or curvature due to myopia. To eliminate the use of flattening in retinal layer segmentation for practicality of such methods, we propose novel
arxiv  

Vision without inversion of the retinal image. [PDF]

, 1897
George Malcolm Stratton
openalex   +1 more source

SegImgNet: Segmentation-Guided Dual-Branch Network for Retinal Disease Diagnoses [PDF]

arXiv
Retinal image plays a crucial role in diagnosing various diseases, as retinal structures provide essential diagnostic information. However, effectively capturing structural features while integrating them with contextual information from retinal images remains a challenge.
arxiv  

ON SOME PECULIARITIES CONNECTED WITH RETINAL IMAGES [PDF]

, 1884
Sydney E. Hodges
openalex   +1 more source

UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling [PDF]

arXiv
Retinal foundation models aim to learn generalizable representations from diverse retinal images, facilitating label-efficient model adaptation across various ophthalmic tasks. Despite their success, current retinal foundation models are generally restricted to a single imaging modality, such as Color Fundus Photography (CFP) or Optical Coherence ...
arxiv  

Retinal Image in Axial and Refractive Ametropia [PDF]

, 1955
J. I. Pascal
openalex   +1 more source

Prediction of Cardiovascular Risk Factors from Retinal Fundus Images using CNNs [PDF]

arXiv
Early detection of cardiovascular disease risk factors is essential to alter the course of the disease. Previous studies showed that deep learning can successfully be used to detect such risk factors from retinal images. This study uses convolutional neural networks (CNNs) to predict the cardiovascular disease risk factors age, BMI, smoking status ...
arxiv  

CUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement [PDF]

arXiv
Retinal fundus photography is significant in diagnosing and monitoring retinal diseases. However, systemic imperfections and operator/patient-related factors can hinder the acquisition of high-quality retinal images. Previous efforts in retinal image enhancement primarily relied on GANs, which are limited by the trade-off between training stability and
arxiv  

Retinal Images from Distant Objects: the Premises for an Interpretation (reply) [PDF]

, 1969
Gerald H. Fisher
openalex   +1 more source

Retinal image smear as a source of information about magnitude of eye movement. [PDF]

, 1978
Léon Festinger, Jeffrey D. Holtzman
openalex   +1 more source