Artificial intelligence and the future of global health
N Schwalbe, B Wahl - The Lancet, 2020 - thelancet.com
Concurrent advances in information technology infrastructure and mobile computing power
in many low and middle-income countries (LMICs) have raised hopes that artificial …
in many low and middle-income countries (LMICs) have raised hopes that artificial …
Deep learning in medical imaging and radiation therapy
The goals of this review paper on deep learning (DL) in medical imaging and radiation
therapy are to (a) summarize what has been achieved to date;(b) identify common and …
therapy are to (a) summarize what has been achieved to date;(b) identify common and …
[PDF][PDF] Detection of coronavirus disease (covid-19) based on deep features
The detection of coronavirus (COVID-19) is now a critical task for the medical practitioner.
The coronavirus spread so quickly between people and approaches 100,000 people …
The coronavirus spread so quickly between people and approaches 100,000 people …
Reliable tuberculosis detection using chest X-ray with deep learning, segmentation and visualization
Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one
of the top 10 leading causes of death. Accurate and early detection of TB is very important …
of the top 10 leading causes of death. Accurate and early detection of TB is very important …
[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 …
Deep feature based rice leaf disease identification using support vector machine
Features are the vital factor for image classification in the field of machine learning. The
advancement of deep convolutional neural network (CNN) shows the way for identification …
advancement of deep convolutional neural network (CNN) shows the way for identification …
Medical image analysis based on deep learning approach
M Puttagunta, S Ravi - Multimedia tools and applications, 2021 - Springer
Medical imaging plays a significant role in different clinical applications such as medical
procedures used for early detection, monitoring, diagnosis, and treatment evaluation of …
procedures used for early detection, monitoring, diagnosis, and treatment evaluation of …
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 …
Convolutional neural networks for radiologic images: a radiologist's guide
S Soffer, A Ben-Cohen, O Shimon, MM Amitai… - Radiology, 2019 - pubs.rsna.org
Deep learning has rapidly advanced in various fields within the past few years and has
recently gained particular attention in the radiology community. This article provides an …
recently gained particular attention in the radiology community. This article provides an …
Enhanced lung image segmentation using deep learning
With the advances in technology, assistive medical systems are emerging with rapid growth
and helping healthcare professionals. The proactive diagnosis of diseases with artificial …
and helping healthcare professionals. The proactive diagnosis of diseases with artificial …