Latest AI and machine learning research in ophthalmology for healthcare professionals.
PURPOSE: To assess the performance of a deep learning (DL) algorithm for evaluating and supervising cataract extraction using phacoemulsification with intraocular lens (IOL) implantation based on cataract surgery (CS) videos.
Drowsiness is one of the main causes of road accidents and endangers the lives of road users. Recently, there has been considerable interest in utilizing features extracted from electroencephalography (EEG) signals to detect driver drowsiness. However, in most of the work performed in this area, the eyeblink or ocular artifacts present in EEG signals are considered noise and are removed during the...
The eye is one of the most important organs of the human body. Eye diseases are closely related to other systemic diseases, both of which influence ea...
The use of optical coherence tomography (OCT) in medical diagnostics is now common. The growing amount of data leads us to propose an automated suppor...
In order to shorten the image registration time and improve the imaging quality, this paper proposes a fuzzy medical computer vision image information...
Visual communication concepts enable linguistics or semiotics to the teaching of visual communication designs, creating graphic designs into an innova...
The shiitake mushroom is the second-largest edible mushroom in the world, with a high nutritional and medicinal value. The surface texture of shiitake...
Currently there are no reliable biomarkers for early detection of Alzheimer's disease (AD) at the preclinical stage. This study assessed the pupil lig...
Microstructured materials that can selectively control the optical properties are crucial for the development of thermal management systems in aerospa...
BACKGROUND: To determine the maturity of cantaloupe, measuring the soluble solid content (SSC) as the indicator of sugar content based on the refracto...
OBJECTIVES: To evaluate the value of deep learning (DL) combining multimodal radiomics and clinical and imaging features for differentiating ocular ad...
Diabetic patients can also be identified immediately utilizing retinopathy photos, but it is a challenging task. The blood veins visible in fundus pho...
We sought to predict whether central serous chorioretinopathy (CSC) will persist after 6 months using multiple optical coherence tomography (OCT) imag...
One direct way to express the sense of attention in a human interaction is through the gaze. This paper presents the enhancement of the sense of atten...
In higher eukaryotic cells, chromosomes are folded inside the nucleus. Recent advances in whole-genome mapping technologies have revealed the multisca...
With continued advancements in portable eye-tracker technology liberating experimenters from the restraints of artificial laboratory designs, research...
We show a new family of neural networks based on the Schrödinger equation (SE-NET). In this analogy, the trainable weights of the neural networks corr...
Deep neural networks are known to be data-driven and label noise can have a marked impact on model performance. Recent studies have shown great robust...
The activity of citizen scientists who capture images of aurora borealis using digital cameras has recently been contributing to research regarding sp...
As the presentation form of the web, web pages contain a lot of important information in web design. As many information carriers, such as sound, grap...