New machine learning method for image-based diagnosis of COVID-19
COVID-19 is a worldwide epidemic, as announced by the World Health Organization (WHO)
in March 2020. Machine learning (ML) methods can play vital roles in identifying COVID-19 …
in March 2020. Machine learning (ML) methods can play vital roles in identifying COVID-19 …
A novel transfer learning based approach for pneumonia detection in chest X-ray images
Pneumonia is among the top diseases which cause most of the deaths all over the world.
Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the …
Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the …
Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists
Manual identification of brain tumors is an error-prone and tedious process for radiologists;
therefore, it is crucial to adopt an automated system. The binary classification process, such …
therefore, it is crucial to adopt an automated system. The binary classification process, such …
Coronavirus disease (COVID-19) detection in chest X-ray images using majority voting based classifier ensemble
Abstract Novel coronavirus disease (nCOVID-19) is the most challenging problem for the
world. The disease is caused by severe acute respiratory syndrome coronavirus-2 (SARS …
world. The disease is caused by severe acute respiratory syndrome coronavirus-2 (SARS …
Automatic detection of COVID-19 infection using chest X-ray images through transfer learning
EF Ohata, GM Bezerra, JVS das Chagas… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
The new coronavirus (COVID-19), declared by the World Health Organization as a
pandemic, has infected more than 1 million people and killed more than 50 thousand. An …
pandemic, has infected more than 1 million people and killed more than 50 thousand. An …
Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data
In the last few years, visual sensors are deployed almost everywhere, generating a massive
amount of surveillance video data in smart cities that can be inspected intelligently to …
amount of surveillance video data in smart cities that can be inspected intelligently to …
Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans
Purpose COVID-19 has infected millions of people worldwide. One of the most important
hurdles in controlling the spread of this disease is the inefficiency and lack of medical tests …
hurdles in controlling the spread of this disease is the inefficiency and lack of medical tests …
Pulmonary image classification based on inception-v3 transfer learning model
C Wang, D Chen, L Hao, X Liu, Y Zeng, J Chen… - IEEE …, 2019 - ieeexplore.ieee.org
Chest X-ray film is the most widely used and common method of clinical examination for
pulmonary nodules. However, the number of radiologists obviously cannot keep up with this …
pulmonary nodules. However, the number of radiologists obviously cannot keep up with this …
A comprehensive survey on the progress, process, and challenges of lung cancer detection and classification
MF Mridha, AR Prodeep, ASMM Hoque… - Journal of …, 2022 - Wiley Online Library
Lung cancer is the primary reason of cancer deaths worldwide, and the percentage of death
rate is increasing step by step. There are chances of recovering from lung cancer by …
rate is increasing step by step. There are chances of recovering from lung cancer by …
A novel method for detection of tuberculosis in chest radiographs using artificial ecosystem-based optimisation of deep neural network features
Tuberculosis (TB) is is an infectious disease that generally attacks the lungs and causes
death for millions of people annually. Chest radiography and deep-learning-based image …
death for millions of people annually. Chest radiography and deep-learning-based image …