[HTML][HTML] Glaucoma diagnosis in the era of deep learning: A survey
Glaucoma, a leading cause of irreversible blindness worldwide, poses significant diagnostic
challenges due to its reliance on subjective evaluation. Recent advances in computer vision …
challenges due to its reliance on subjective evaluation. Recent advances in computer vision …
A binary waterwheel plant optimization algorithm for feature selection
The vast majority of today's data is collected and stored in enormous databases with a wide
range of characteristics that have little to do with the overarching goal concept. Feature …
range of characteristics that have little to do with the overarching goal concept. Feature …
Bio-inspired feature selection algorithms with their applications: a systematic literature review
Based on the principles of the biological evolution of nature, bio-inspired algorithms are
gaining popularity in developing robust techniques for optimization. Unlike gradient descent …
gaining popularity in developing robust techniques for optimization. Unlike gradient descent …
Emperor penguin optimization algorithm-and bacterial foraging optimization algorithm-based novel feature selection approach for glaucoma classification from fundus …
Feature selection is an important component of the machine learning domain, which selects
the ideal subset of characteristics relative to the target data by omitting irrelevant data. For a …
the ideal subset of characteristics relative to the target data by omitting irrelevant data. For a …
Feature selection for high dimensional datasets based on quantum-based dwarf mongoose optimization
Feature selection (FS) methods play essential roles in different machine learning
applications. Several FS methods have been developed; however, those FS methods that …
applications. Several FS methods have been developed; however, those FS methods that …
An enhanced Runge Kutta boosted machine learning framework for medical diagnosis
Z Qiao, L Li, X Zhao, L Liu, Q Zhang, H Shili… - Computers in Biology …, 2023 - Elsevier
With the development and maturity of machine learning methods, medical diagnosis aided
with machine learning methods has become a popular method to assist doctors in …
with machine learning methods has become a popular method to assist doctors in …
Retinal nerve fiber layer analysis using deep learning to improve glaucoma detection in eye disease assessment
AR Prananda, EL Frannita, AHT Hutami, MR Maarif… - Applied Sciences, 2022 - mdpi.com
Recently, the development of a rapid detection approach for glaucoma has been widely
proposed to assist medical personnel in detecting glaucoma disease thanks to the …
proposed to assist medical personnel in detecting glaucoma disease thanks to the …
Binary Ebola optimization search algorithm for feature selection and classification problems
In the past decade, the extraction of valuable information from online biomedical datasets
has exponentially increased due to the evolution of data processing devices and the …
has exponentially increased due to the evolution of data processing devices and the …
An evolutionary machine learning for multiple myeloma using Runge Kutta Optimizer from multi characteristic indexes
Y Ji, B Shi, Y Li - Computers in Biology and Medicine, 2022 - Elsevier
Multiple myeloma (MM) is a malignant plasma cell disease that is the second most prevalent
hematological malignancy in high-income nations and accounts for around 1.8% of all …
hematological malignancy in high-income nations and accounts for around 1.8% of all …
Damage detection of offshore jacket structures using structural vibration measurements: Application of a new hybrid machine learning method
The artificial intelligence (AI) technologies, such as meta-heuristic computing and deep
learning, have provides solid technical support for structural health monitoring (SHM) of …
learning, have provides solid technical support for structural health monitoring (SHM) of …