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 …

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 …

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 …

Efficient extraction of deep image features using a convolutional neural network (CNN) for detecting ventricular fibrillation and tachycardia

A Mjahad, M Saban, H Azarmdel, A Rosado-Muñoz - Journal of Imaging, 2023 - mdpi.com
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 …

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 …

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 …

Automated detection of kidney stone using deep learning models

B Manoj, N Mohan, S Kumar - 2022 2nd International …, 2022 - ieeexplore.ieee.org
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 …

A survey on deep learning models for detection of COVID-19

J Mozaffari, A Amirkhani, SB Shokouhi - Neural Computing and …, 2023 - Springer
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 …

[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 …

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 …