A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features
G Sunitha, R Arunachalam… - … Journal of Imaging …, 2022 - Wiley Online Library
The study aims to assess the detection performance of a rapid primary screening technique
for COVID‐19 that is purely based on the cough sound extracted from 2200 clinically …
for COVID‐19 that is purely based on the cough sound extracted from 2200 clinically …
Deep multi‐instance transfer learning for pneumothorax classification in chest X‐ray images
Y Tian, J Wang, W Yang, J Wang, D Qian - Medical Physics, 2022 - Wiley Online Library
Purpose Pneumothorax is a life‐threatening emergency that requires immediate treatment.
Frontal‐view chest X‐ray images are typically used for pneumothorax detection in clinical …
Frontal‐view chest X‐ray images are typically used for pneumothorax detection in clinical …
A deep convolutional neural network model for medical data classification from computed tomography images
S Sreelakshmi, VS Anoop - Expert Systems, 2023 - Wiley Online Library
Abstract Machine learning provides powerful techniques for several applications, including
automated disease diagnosis through medical image classification. Recently, many studies …
automated disease diagnosis through medical image classification. Recently, many studies …
Efficient extraction of deep image features using a convolutional neural network (CNN) for detecting ventricular fibrillation and tachycardia
To safely select the proper therapy for ventricular fibrillation (VF), it is essential to distinguish
it correctly from ventricular tachycardia (VT) and other rhythms. Provided that the required …
it correctly from ventricular tachycardia (VT) and other rhythms. Provided that the required …
Auxiliary classification of cervical cells based on multi-domain hybrid deep learning framework
C Zhang, D Jia, Z Li, N Wu - Biomedical Signal Processing and Control, 2022 - Elsevier
Computer-aided cervical cell classification using Pap smears or Thinprep cytologic test
(TCT) have been widely applied as a high effective screening tool, by which the cells are …
(TCT) have been widely applied as a high effective screening tool, by which the cells are …
Analysis of COVID-19 and pneumonia detection in chest X-ray images using deep learning
D Radha - 2021 international conference on communication …, 2021 - ieeexplore.ieee.org
The on-going COVID-19 outbreak made healthcare systems across the globe to be in the
edge of the battle. Recent stats indicate that more than 140+ million confirmed cases are …
edge of the battle. Recent stats indicate that more than 140+ million confirmed cases are …
Automated detection of kidney stone using deep learning models
Kidney stone is the most common disease nowa-days. Proper diagnosis of the disease is
required to cure and lead a healthy lifestyle. Various methods are posed for kidney stone …
required to cure and lead a healthy lifestyle. Various methods are posed for kidney stone …
A survey on deep learning models for detection of COVID-19
The spread of the COVID-19 started back in 2019; and so far, more than 4 million people
around the world have lost their lives to this deadly virus and its variants. In view of the high …
around the world have lost their lives to this deadly virus and its variants. In view of the high …
[PDF][PDF] Classification sars-cov-2 disease based on ct-scan image using convolutional neural network
KL Kohsasih, BH Hayadi - Scientific Journal of Informatics, 2022 - researchgate.net
Purpose: Convolutional Neural Network (CNN) is one of the most popular and widely used
deep learning algorithms. These algorithms are commonly used in various applications …
deep learning algorithms. These algorithms are commonly used in various applications …
Chest X-ray pathology detection using Deep Learning and Transfer Learning
IR Oviya, C Spandana, S Krithika - 2022 IEEE 7th International …, 2022 - ieeexplore.ieee.org
Chest radiography is used to identify, diagnose, and treat lung illnesses including
pulmonary nodules, TB, and interstitial lung disease. Chest radiography provides a wealth of …
pulmonary nodules, TB, and interstitial lung disease. Chest radiography provides a wealth of …