A review of epileptic seizure detection using machine learning classifiers
Epilepsy is a serious chronic neurological disorder, can be detected by analyzing the brain
signals produced by brain neurons. Neurons are connected to each other in a complex way …
signals produced by brain neurons. Neurons are connected to each other in a complex way …
[HTML][HTML] Medical image processing and COVID-19: a literature review and bibliometric analysis
RA Abumalloh, M Nilashi, MY Ismail, A Alhargan… - Journal of infection and …, 2022 - Elsevier
COVID-19 crisis has placed medical systems over the world under unprecedented and
growing pressure. Medical imaging processing can help in the diagnosis, treatment, and …
growing pressure. Medical imaging processing can help in the diagnosis, treatment, and …
Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet
Presently, COVID-19 has posed a serious threat to researchers, scientists, health
professionals, and administrations around the globe from its detection to its treatment. The …
professionals, and administrations around the globe from its detection to its treatment. The …
[HTML][HTML] A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
In 2019, the world experienced the rapid outbreak of the Covid-19 pandemic creating an
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray …
YH Bhosale, KS Patnaik - Biomedical Signal Processing and Control, 2023 - Elsevier
Abstract Background and Objective In the current COVID-19 outbreak, efficient testing of
COVID-19 individuals has proven vital to limiting and arresting the disease's accelerated …
COVID-19 individuals has proven vital to limiting and arresting the disease's accelerated …
Lung cancer risk prediction with machine learning models
The lungs are the center of breath control and ensure that every cell in the body receives
oxygen. At the same time, they filter the air to prevent the entry of useless substances and …
oxygen. At the same time, they filter the air to prevent the entry of useless substances and …
[HTML][HTML] AquaVision: Automating the detection of waste in water bodies using deep transfer learning
Water pollution is one of the serious threats in the society. More than 8 million tons of plastic
are dumped in the oceans each year. In addition to that beaches are littered by tourists and …
are dumped in the oceans each year. In addition to that beaches are littered by tourists and …
Deep learning for biospectroscopy and biospectral imaging: state-of-the-art and perspectives
With the advances in instrumentation and sampling techniques, there is an explosive growth
of data from molecular and cellular samples. The call to extract more information from the …
of data from molecular and cellular samples. The call to extract more information from the …
IoT deployable lightweight deep learning application for COVID-19 detection with lung diseases using RaspberryPi
YH Bhosale, KS Patnaik - 2022 International conference on IoT …, 2022 - ieeexplore.ieee.org
Proper assessment of COVID-19 patients has become critical to mitigating and halting the
disease's rapid expansion during the present COVID-19 epidemic across the nations. Due to …
disease's rapid expansion during the present COVID-19 epidemic across the nations. Due to …
Lung cancer prediction and classification based on correlation selection method using machine learning techniques
DM Abdullah, AM Abdulazeez… - Qubahan Academic …, 2021 - journal.qubahan.com
Lung cancer is one of the leading causes of mortality in every country, affecting both men
and women. Lung cancer has a low prognosis, resulting in a high death rate. The computing …
and women. Lung cancer has a low prognosis, resulting in a high death rate. The computing …