[HTML][HTML] Deep learning for smart Healthcare—A survey on brain tumor detection from medical imaging
M Arabahmadi, R Farahbakhsh, J Rezazadeh - Sensors, 2022 - mdpi.com
Advances in technology have been able to affect all aspects of human life. For example, the
use of technology in medicine has made significant contributions to human society. In this …
use of technology in medicine has made significant contributions to human society. In this …
[HTML][HTML] A survey of deep learning for lung disease detection on medical images: state-of-the-art, taxonomy, issues and future directions
The recent developments of deep learning support the identification and classification of
lung diseases in medical images. Hence, numerous work on the detection of lung disease …
lung diseases in medical images. Hence, numerous work on the detection of lung disease …
Deep learning approaches for COVID-19 detection based on chest X-ray images
COVID-19 is a novel virus that causes infection in both the upper respiratory tract and the
lungs. The numbers of cases and deaths have increased on a daily basis on the scale of a …
lungs. The numbers of cases and deaths have increased on a daily basis on the scale of a …
CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images
Abstract Background and Objective The Coronavirus 2019, or shortly COVID-19, is a viral
disease that causes serious pneumonia and impacts our different body parts from mild to …
disease that causes serious pneumonia and impacts our different body parts from mild to …
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 …
Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI
Chest X-ray (CXR) images are considered useful to monitor and investigate a variety of
pulmonary disorders such as COVID-19, Pneumonia, and Tuberculosis (TB). With recent …
pulmonary disorders such as COVID-19, Pneumonia, and Tuberculosis (TB). With recent …
Image enhancement for tuberculosis detection using deep learning
The latest World Health Organization's (WHO) study on 2018 is showing that about 1.5
million people died and around 10 million people are infected with tuberculosis (TB) each …
million people died and around 10 million people are infected with tuberculosis (TB) each …
Automated COVID-19 detection from X-ray and CT images with stacked ensemble convolutional neural network
Automatic and rapid screening of COVID-19 from the radiological (X-ray or CT scan) images
has become an urgent need in the current pandemic situation of SARS-CoV-2 worldwide …
has become an urgent need in the current pandemic situation of SARS-CoV-2 worldwide …
[HTML][HTML] Ensemble learning based automatic detection of tuberculosis in chest X-ray images using hybrid feature descriptors
Tuberculosis (TB) remains one of the major health problems in modern times with a high
mortality rate. While efforts are being made to make early diagnosis accessible and more …
mortality rate. While efforts are being made to make early diagnosis accessible and more …
[HTML][HTML] Evolution of machine learning in tuberculosis diagnosis: a review of deep learning-based medical applications
Tuberculosis (TB) is an infectious disease that has been a major menace to human health
globally, causing millions of deaths yearly. Well-timed diagnosis and treatment are an arch …
globally, causing millions of deaths yearly. Well-timed diagnosis and treatment are an arch …