Intelligent pneumonia identification from chest x-rays: A systematic literature review

W Khan, N Zaki, L Ali - IEEE Access, 2021 - ieeexplore.ieee.org
Chest radiography is a significant diagnostic tool used to detect diseases afflicting the chest.
The automatic detection techniques associated with computer vision are being adopted in …

Transfer learning with deep convolutional neural network (CNN) for pneumonia detection using chest X-ray

T Rahman, MEH Chowdhury, A Khandakar, KR Islam… - Applied Sciences, 2020 - mdpi.com
Pneumonia is a life-threatening disease, which occurs in the lungs caused by either
bacterial or viral infection. It can be life-endangering if not acted upon at the right time and …

Efficient pneumonia detection in chest xray images using deep transfer learning

MF Hashmi, S Katiyar, AG Keskar, ND Bokde… - Diagnostics, 2020 - mdpi.com
Pneumonia causes the death of around 700,000 children every year and affects 7% of the
global population. Chest X-rays are primarily used for the diagnosis of this disease …

Detection and classification of lung diseases for pneumonia and Covid-19 using machine and deep learning techniques

S Goyal, R Singh - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Since the arrival of the novel Covid-19, several types of researches have been initiated for
its accurate prediction across the world. The earlier lung disease pneumonia is closely …

Review on pneumonia image detection: A machine learning approach

A Kareem, H Liu, P Sant - Human-Centric Intelligent Systems, 2022 - Springer
This paper surveys and examines how computer-aided techniques can be deployed in
detecting pneumonia. It also suggests a hybrid model that can effectively detect pneumonia …

Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN

R Karthik, R Menaka, M Hariharan - Applied Soft Computing, 2021 - Elsevier
COVID-19 is a deadly viral infection that has brought a significant threat to human lives.
Automatic diagnosis of COVID-19 from medical imaging enables precise medication, helps …

Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm

AMQ Farhan, S Yang - Multimedia Tools and applications, 2023 - Springer
The chest X-ray images provide vital information about the congestion cost-effectively. We
propose a novel Hybrid Deep Learning Algorithm (HDLA) framework for automatic lung …

Automated lung-related pneumonia and COVID-19 detection based on novel feature extraction framework and vision transformer approaches using chest X-ray …

CC Ukwuoma, Z Qin, MBB Heyat, F Akhtar, A Smahi… - Bioengineering, 2022 - mdpi.com
According to research, classifiers and detectors are less accurate when images are blurry,
have low contrast, or have other flaws which raise questions about the machine learning …

[Retracted] Lung Disease Classification in CXR Images Using Hybrid Inception‐ResNet‐v2 Model and Edge Computing

CM Sharma, L Goyal, VM Chariar… - Journal of Healthcare …, 2022 - Wiley Online Library
Chest X‐ray (CXR) imaging is one of the most widely used and economical tests to
diagnose a wide range of diseases. However, even for expert radiologists, it is a challenge …

An efficient ensemble method for detecting spinal curvature type using deep transfer learning and soft voting classifier

P Tavana, M Akraminia, A Koochari… - Expert Systems with …, 2023 - Elsevier
Scoliosis is a spinal deformity that negatively affects the body's distribution of weight in
several ways. This deformity can be classified as C-shaped or S-shaped. These deformities …