Optimized convolution neural network based multiple eye disease detection
P Muthukannan - Computers in Biology and Medicine, 2022 - Elsevier
World health organization (WHO) reports around 2.2 billion people in the world as visually
challenged which is mostly due to the age-related eye diseases such as age-related …
challenged which is mostly due to the age-related eye diseases such as age-related …
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 …
A novel hybridized feature selection strategy for the effective prediction of glaucoma in retinal fundus images
Feature selection (FS) is crucial to transforming high-dimensional data into low-dimensional
data. The FS approach selects influential traits and ignores the rest. This approach improves …
data. The FS approach selects influential traits and ignores the rest. This approach improves …
Optimized convolutional neural network for glaucoma detection with improved optic-cup segmentation
Glaucoma is the foremost cause of permanent loss of visioahn; it develops slowly with no
discernible sign. Early glaucoma recognition is critical because it might aid to slow the …
discernible sign. Early glaucoma recognition is critical because it might aid to slow the …
Efficient feature selection based novel clinical decision support system for glaucoma prediction from retinal fundus images
The process of feature selection (FS) is vital aspect of machine learning (ML) model's
performance enhancement where the objective is the selection of the most influential subset …
performance enhancement where the objective is the selection of the most influential subset …
Rider manta ray foraging optimization-based generative adversarial network and CNN feature for detecting glaucoma
Glaucoma is a leading and rapidly increasing disease in recent years, which affects the
eye's optic nerve and causes everlasting vision loss. The early recognition of glaucoma is a …
eye's optic nerve and causes everlasting vision loss. The early recognition of glaucoma is a …
Glaucoma detection using inception convolutional neural network v3
T Afroze, S Akther, MA Chowdhury, E Hossain… - … Conference on Applied …, 2021 - Springer
Glaucoma detection is an important research area in intelligent system and it plays an
important role to medical field. Glaucoma can give rise to an irreversible blindness due to …
important role to medical field. Glaucoma can give rise to an irreversible blindness due to …
Feature subset selection through nature inspired computing for efficient glaucoma classification from fundus images
The selection of the most efficient features for glaucoma identification is the subject of our
investigation because this disease is rapidly increasing worldwide. This disease causes …
investigation because this disease is rapidly increasing worldwide. This disease causes …
[PDF][PDF] Enhanced Nature Inspired-Support Vector Machine for Glaucoma Detection.
Glaucoma is a progressive eye disease that can lead to blindness if left untreated. Early
detection is crucial to prevent vision loss, but current manual scanning methods are …
detection is crucial to prevent vision loss, but current manual scanning methods are …
Optimized convolutional neural network-based comprehensive early diagnosis method for multiple eye disease recognition
N Rathakrishnan, D Raja - Journal of Electronic Imaging, 2022 - spiedigitallibrary.org
The multilabel classification method (MCM) is an active and effective research area in image
analysis for the detection of various diseases. MCM provides insights and assistance to …
analysis for the detection of various diseases. MCM provides insights and assistance to …