Deep metric learning: A survey
M Kaya, HŞ Bilge - Symmetry, 2019 - mdpi.com
Metric learning aims to measure the similarity among samples while using an optimal
distance metric for learning tasks. Metric learning methods, which generally use a linear …
distance metric for learning tasks. Metric learning methods, which generally use a linear …
Deep transfer learning approaches to predict glaucoma, cataract, choroidal neovascularization, diabetic macular edema, drusen and healthy eyes: an experimental …
Artificial intelligence (AI) has lately witnessed an age of tremendous expansion across
several industries, including healthcare. In recent years, substantial advancements in AI …
several industries, including healthcare. In recent years, substantial advancements in AI …
Automated machine learning for healthcare and clinical notes analysis
A Mustafa, M Rahimi Azghadi - Computers, 2021 - mdpi.com
Machine learning (ML) has been slowly entering every aspect of our lives and its positive
impact has been astonishing. To accelerate embedding ML in more applications and …
impact has been astonishing. To accelerate embedding ML in more applications and …
[HTML][HTML] An integrated approach of Belief Rule Base and Convolutional Neural Network to monitor air quality in Shanghai
Accurate monitoring of air quality can reduce its adverse impact on earth. Ground-level
sensors can provide fine particulate matter (PM 2.5) concentrations and ground images. But …
sensors can provide fine particulate matter (PM 2.5) concentrations and ground images. But …
An expert system to predict eye disorder using deep convolutional neural network
Glaucoma according to the WHO is one of the major causes of blindness worldwide. Due to
its complexity and silent nature early detection of this disease makes it hard to detect. There …
its complexity and silent nature early detection of this disease makes it hard to detect. There …
Medical and dental professionals readiness for artificial intelligence for Saudi Arabia vision 2030
K Aboalshamat, R Alhuzali, A Alalyani… - International Journal of …, 2022 - ijpras.com
Abstract Healthcare Artificial Intelligence (AI) readiness is defined as adequate knowledge,
attitudes, and skills such that health professionals are prepared for AI use in prevention …
attitudes, and skills such that health professionals are prepared for AI use in prevention …
Multi categorical of common eye disease detect using convolutional neural network: a transfer learning approach
Among the most important systems in the body is the eyes. Although their small stature,
humans are unable to imagine existence without it. The human optic is safe against dust …
humans are unable to imagine existence without it. The human optic is safe against dust …
An efficient approach to predict eye diseases from symptoms using machine learning and ranker-based feature selection methods
The eye is generally considered to be the most important sensory organ of humans.
Diseases and other degenerative conditions of the eye are therefore of great concern as …
Diseases and other degenerative conditions of the eye are therefore of great concern as …
Minimized Computations of Deep Learning Technique for Early Diagnosis of Diabetic Retinopathy Using IoT‐Based Medical Devices
Diabetes mellitus is the main cause of diabetic retinopathy, the most common cause of
blindness worldwide. In order to slow down or prevent vision loss and degeneration, early …
blindness worldwide. In order to slow down or prevent vision loss and degeneration, early …
LUVS-Net: A Lightweight U-Net Vessel Segmentor for Retinal Vasculature Detection in Fundus Images
This paper presents LUVS-Net, which is a lightweight convolutional network for retinal
vessel segmentation in fundus images that is designed for resource-constrained devices …
vessel segmentation in fundus images that is designed for resource-constrained devices …