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 …
Role of artificial intelligence in COVID-19 detection
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
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 comparative analysis of machine learning algorithms for detection of organic and nonorganic cotton diseases
Cotton is the natural fiber produced, and the commercial crop grown in monoculture on 2.5%
of total agricultural land. Cotton is a drought‐resistant crop that provides a reliable income to …
of total agricultural land. Cotton is a drought‐resistant crop that provides a reliable income to …
Joint diagnosis of pneumonia, COVID-19, and tuberculosis from chest X-ray images: a deep learning approach
Pneumonia, COVID-19, and tuberculosis are some of the most fatal and common lung
diseases in the current era. Several approaches have been proposed in the literature for the …
diseases in the current era. Several approaches have been proposed in the literature for the …
Concatenation of pre-trained convolutional neural networks for enhanced COVID-19 screening using transfer learning technique
Coronavirus (COVID-19) is the most prevalent coronavirus infection with respiratory
symptoms such as fever, cough, dyspnea, pneumonia, and weariness being typical in the …
symptoms such as fever, cough, dyspnea, pneumonia, and weariness being typical in the …
A Novel COVID‐19 Diagnosis Support System Using the Stacking Approach and Transfer Learning Technique on Chest X‐Ray Images
COVID‐19 is an infectious disease‐causing flu‐like respiratory problem with various
symptoms such as cough or fever, which in severe cases can cause pneumonia. The aim of …
symptoms such as cough or fever, which in severe cases can cause pneumonia. The aim of …
Skin cancer detection using convolutional neural network
DC Malo, MM Rahman, J Mahbub… - 2022 IEEE 12th Annual …, 2022 - ieeexplore.ieee.org
The advancement of artificial intelligence is reshaping various sectors of our lives including
disease identification. Today, dermatologists depend greatly on digitalized output of patients' …
disease identification. Today, dermatologists depend greatly on digitalized output of patients' …
[HTML][HTML] New optimized deep learning application for COVID-19 detection in chest X-ray images
Due to false negative results of the real-time Reverse Transcriptase-Polymerase Chain
Reaction (RT-PCR) test, the complemental practices such as computed tomography (CT) …
Reaction (RT-PCR) test, the complemental practices such as computed tomography (CT) …
A comprehensive review of analyzing the chest X-ray images to detect COVID-19 infections using deep learning techniques
K Subramaniam, N Palanisamy, RA Sinnaswamy… - Soft computing, 2023 - Springer
COVID-19, a highly infectious respiratory disease a used by SARS virus, has killed millions
of people across many countries. To enhance quick and accurate diagnosis of COVID-19 …
of people across many countries. To enhance quick and accurate diagnosis of COVID-19 …