AIMC Topic: Retina
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Predicting Visual Fields From Optical Coherence Tomography via an Ensemble of Deep Representation Learners.
American journal of ophthalmology
Jan 5, 2022
PURPOSE: To develop and validate a deep learning method of predicting visual function from spectral domain optical coherence tomography (SD-OCT)-derived retinal nerve fiber layer thickness (RNFLT) measurements and corresponding SD-OCT images.
Two-Step Registration on Multi-Modal Retinal Images via Deep Neural Networks.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jan 4, 2022
Multi-modal retinal image registration plays an important role in the ophthalmological diagnosis process. The conventional methods lack robustness in aligning multi-modal images of various imaging qualities. Deep-learning methods have not been widely...
Integrated In-Sensor Computing Optoelectronic Device for Environment-Adaptable Artificial Retina Perception Application.
Nano letters
Dec 28, 2021
With the development and application of artificial intelligence, there is an appeal to the exploitation of various sensors and memories. As the most important perception of human beings, vision occupies more than 80% of all the received information. ...
[Ocular changes as a diagnostic tool for malaria].
Die Ophthalmologie
Dec 23, 2021
BACKGROUND: According to the WHO Malaria Report 2019 a total of 229 million people fall ill with malaria each year and two thirds of deaths involve children under 5 years of age.
Newborn Eye Screening as an Application of AI.
Ophthalmic surgery, lasers & imaging retina
Dec 1, 2021
Artificial intelligence (AI) applications are diverse and serve varied functions in clinical practice. The most successful products today are clinical decision tools used by physicians, but autonomous AI is gaining traction. Widespread use of AI is l...
Deep Learning of the Retina Enables Phenome- and Genome-Wide Analyses of the Microvasculature.
Circulation
Nov 8, 2021
BACKGROUND: The microvasculature, the smallest blood vessels in the body, has key roles in maintenance of organ health and tumorigenesis. The retinal fundus is a window for human in vivo noninvasive assessment of the microvasculature. Large-scale com...
General deep learning model for detecting diabetic retinopathy.
BMC bioinformatics
Nov 8, 2021
BACKGROUND: Doctors can detect symptoms of diabetic retinopathy (DR) early by using retinal ophthalmoscopy, and they can improve diagnostic efficiency with the assistance of deep learning to select treatments and support personnel workflow. Conventio...
Adaptive Control Improves Sclera Force Safety in Robot-Assisted Eye Surgery: A Clinical Study.
IEEE transactions on bio-medical engineering
Oct 19, 2021
The integration of robotics into retinal microsurgery leads to a reduction in surgeon perception of tool-to-tissue interaction forces. This blunting of human tactile sensory input, which is due to the inflexible mass and large inertia of the robotic ...
Estimation of current and post-treatment retinal function in chronic central serous chorioretinopathy using artificial intelligence.
Scientific reports
Oct 14, 2021
Refined understanding of the association of retinal microstructure with current and future (post-treatment) function in chronic central serous chorioretinopathy (cCSC) may help to identify patients that would benefit most from treatment. In this post...
Deep learning on fundus images detects glaucoma beyond the optic disc.
Scientific reports
Oct 13, 2021
Although unprecedented sensitivity and specificity values are reported, recent glaucoma detection deep learning models lack in decision transparency. Here, we propose a methodology that advances explainable deep learning in the field of glaucoma dete...
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