A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images
Abstract As per World Health Organization, in 2019, 2.5 million deaths were reported due to
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
A deep learning based model for the detection of pneumonia from chest X-ray images using VGG-16 and neural networks
Pneumonia is a viral infection which affects a significant proportion of individuals, especially
in developing and penurious countries where contamination, overcrowded, and unsanitary …
in developing and penurious countries where contamination, overcrowded, and unsanitary …
A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse …
JL Gayathri, B Abraham, MS Sujarani… - Computers in biology and …, 2022 - Elsevier
Several infectious diseases have affected the lives of many people and have caused great
dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly …
dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly …
Pediatric chest radiograph interpretation: how far has artificial intelligence come? A systematic literature review
S Padash, MR Mohebbian, SJ Adams… - Pediatric …, 2022 - Springer
Most artificial intelligence (AI) studies have focused primarily on adult imaging, with less
attention to the unique aspects of pediatric imaging. The objectives of this study were to (1) …
attention to the unique aspects of pediatric imaging. The objectives of this study were to (1) …
CDC_Net: Multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X …
Abstract Coronavirus (COVID-19) has adversely harmed the healthcare system and
economy throughout the world. COVID-19 has similar symptoms as other chest disorders …
economy throughout the world. COVID-19 has similar symptoms as other chest disorders …
A lightweight hybrid deep learning system for cardiac valvular disease classification
Y Al-Issa, AM Alqudah - Scientific Reports, 2022 - nature.com
Cardiovascular diseases (CVDs) are a prominent cause of death globally. The introduction
of medical big data and Artificial Intelligence (AI) technology encouraged the effort to …
of medical big data and Artificial Intelligence (AI) technology encouraged the effort to …
A deep learning model for early prediction of pneumonia using VGG19 and neural networks
Pneumonia is a disease that can be caused by bacteria, viruses, and fungi. According to
WHO, pneumonia is responsible for 22% of all deaths of children under the age of 1–5 years …
WHO, pneumonia is responsible for 22% of all deaths of children under the age of 1–5 years …
Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks
SH Karaddi, LD Sharma - Expert Systems with Applications, 2023 - Elsevier
Abstract According to the World Health Organization (WHO), Pneumonia, COVID-19,
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …
CXray-EffDet: chest disease detection and classification from X-ray images using the EfficientDet model
The competence of machine learning approaches to carry out clinical expertise tasks has
recently gained a lot of attention, particularly in the field of medical-imaging examination …
recently gained a lot of attention, particularly in the field of medical-imaging examination …
Deep learning models for detecting respiratory pathologies from raw lung auscultation sounds
In recent years deep learning models improve the diagnosis performance of many diseases
especially respiratory diseases. This paper will propose an evaluation for the performance of …
especially respiratory diseases. This paper will propose an evaluation for the performance of …