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Mayfly optimization with deep learning enabled retinal fundus image classification model
Retinal fundus images are widely employed to screen for various eye diseases, giving them
significant clinical importance. Investigation of medical images has been considerably …
significant clinical importance. Investigation of medical images has been considerably …
CNN supported framework for automatic extraction and evaluation of dermoscopy images
Skin Cancer is one of the acute diseases listed under top 5 groups in 2020 report of World
Health Organisation. This research aims to propose a Convolutional Neural Network …
Health Organisation. This research aims to propose a Convolutional Neural Network …
DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis
Problem Cough-based disease detection is a hot research topic for machine learning, and
much research has been published on the automatic detection of Covid-19. However, these …
much research has been published on the automatic detection of Covid-19. However, these …
Minimally parametrized segmentation framework with dual metaheuristic optimisation algorithms and FCM for detection of anomalies in MR brain images
Background Early prognosis of a brain tumour may offer better life expectancy. Magnetic
Resonance Imaging (MRI) coupled with an efficient machine learning segmentation …
Resonance Imaging (MRI) coupled with an efficient machine learning segmentation …
Cardiac disease diagnosis using feature extraction and machine learning based classification with Internet of Things (IoT)
M Venkatesan, P Lakshmipathy… - Concurrency and …, 2022 - Wiley Online Library
The applications of IoT have been employed in diverse domains like industries, clinical care,
and farming, and so forth. Nowadays, the constitution of this technology is more prevalent in …
and farming, and so forth. Nowadays, the constitution of this technology is more prevalent in …
Develo** Canva-Based Learning Media on Maps and Class Layout for Third Graders of Elementary School
This study aimed to develop Canva-Based Learning Media to produce feasible and effective
learning media products on Maps and Class Layout for third graders at SDN Dukuh Kupang …
learning media products on Maps and Class Layout for third graders at SDN Dukuh Kupang …
Classification regularized dimensionality reduction improves ultrasound thyroid nodule diagnostic accuracy and inter-observer consistency
W Dai, Y Cui, P Wang, H Wu, L Zhang, Y Bian… - Computers in Biology …, 2023 - Elsevier
Abstract Problem Convolutional Neural Networks (CNNs) for medical image analysis usually
only output a probability value, providing no further information about the original image or …
only output a probability value, providing no further information about the original image or …
Radiography image analysis using cat swarm optimized deep belief networks
Radiography images are widely utilized in the health sector to recognize the patient health
condition. The noise and irrelevant region information minimize the entire disease detection …
condition. The noise and irrelevant region information minimize the entire disease detection …
[PDF][PDF] An Adaptive Privacy Preserving Framework for Distributed Association Rule Mining in Healthcare Databases
It is crucial, while using healthcare data, to assess the advantages of data privacy against
the possible drawbacks. Data from several sources must be combined for use in many data …
the possible drawbacks. Data from several sources must be combined for use in many data …