Deep learning in automatic diabetic retinopathy detection and grading systems: a comprehensive survey and comparison of methods
Diabetic Retinopathy is one of the leading global causes of vision impairment and blindness
in humans. It has seen a rise in prevalence, necessitating the development of advanced …
in humans. It has seen a rise in prevalence, necessitating the development of advanced …
Deep learning model using classification for diabetic retinopathy detection: an overview
D Muthusamy, P Palani - Artificial Intelligence Review, 2024 - Springer
Early detection of diabetic retinopathy is a serious disease for diabetics to minimize their
sightlessness risks. The different approaches take a much longer time for a very large …
sightlessness risks. The different approaches take a much longer time for a very large …
Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach
Recently the most infectious disease is the novel Coronavirus disease (COVID 19) creates a
devastating effect on public health in more than 200 countries in the world. Since the …
devastating effect on public health in more than 200 countries in the world. Since the …
[HTML][HTML] Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier
Diabetic retinopathy (DR) is an incurable retinal condition caused by excessive blood sugar
that, if left untreated, can result in even blindness. A novel automated technique for DR …
that, if left untreated, can result in even blindness. A novel automated technique for DR …
[HTML][HTML] Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19
Numerous epidemic lung diseases such as COVID-19, tuberculosis (TB), and pneumonia
have spread over the world, killing millions of people. Medical specialists have experienced …
have spread over the world, killing millions of people. Medical specialists have experienced …
Explainable deep learning model for automatic mulberry leaf disease classification
Mulberry leaves feed Bombyx mori silkworms to generate silk thread. Diseases that affect
mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the …
mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the …
ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network
In the last few decades, several epidemic diseases have been introduced. In some cases,
doctors and medical physicians are facing difficulties in identifying these diseases correctly …
doctors and medical physicians are facing difficulties in identifying these diseases correctly …
[HTML][HTML] Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN …
Around the world, several lung diseases such as pneumonia, cardiomegaly, and
tuberculosis (TB) contribute to severe illness, hospitalization or even death, particularly for …
tuberculosis (TB) contribute to severe illness, hospitalization or even death, particularly for …
Enhancing healthcare in the digital era: A secure e-health system for heart disease prediction and cloud security
V Janarthanan, T Annamalai, M Arumugam - Expert Systems with …, 2024 - Elsevier
In the modern world, due to changing lifestyles, more people are infected by deadly
diseases, especially heart disorders. An early prognosis is the only possible way of …
diseases, especially heart disorders. An early prognosis is the only possible way of …
A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT
The goal of this research is to create an ensemble deep learning model for Internet of Things
(IoT) applications that specifically target remote patient monitoring (RPM) by integrating long …
(IoT) applications that specifically target remote patient monitoring (RPM) by integrating long …