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 systematic review of breast cancer detection using thermography and neural networks
Breast cancer plays a significant role in affecting female mortality. Researchers are actively
seeking to develop early detection methods of breast cancer. Several technologies …
seeking to develop early detection methods of breast cancer. Several technologies …
[HTML][HTML] Hybrid deep learning for detecting lung diseases from X-ray images
Lung disease is common throughout the world. These include chronic obstructive pulmonary
disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease is …
disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease is …
Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms
Abstract Background and Objective Deep learning detection and classification from medical
imagery are key components for computer-aided diagnosis (CAD) systems to efficiently …
imagery are key components for computer-aided diagnosis (CAD) systems to efficiently …
Multiscale analysis domain interpretable deep neural network for detection of breast cancer using thermogram images
Breast cancer is the most prevalent cancer among women, with a high mortality rate. The
early detection of breast cancer using medical imaging techniques helps reduce the number …
early detection of breast cancer using medical imaging techniques helps reduce the number …
Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection
The most common type of liver cancer is hepatocellular carcinoma (HCC), which begins in
hepatocytes. The HCC, like most types of cancer, does not show symptoms in the early …
hepatocytes. The HCC, like most types of cancer, does not show symptoms in the early …
An integrated intelligent system for breast cancer detection at early stages using ir images and machine learning methods with explainability
Breast cancer is the second most common cause of death among women. An early
diagnosis is vital for reducing the fatality rate in the fight against breast cancer …
diagnosis is vital for reducing the fatality rate in the fight against breast cancer …
Notice of Retraction: Infrared Sensing Based Non-Invasive Initial Diagnosis of Chronic Liver Disease Using Ensemble Learning
MU Rehman, S Najam, S Khalid… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
The liver is a vital human body organ and its functionality can be degraded by several
diseases such as hepatitis, fatty liver disease, and liver cancer and so forth. Hence, the early …
diseases such as hepatitis, fatty liver disease, and liver cancer and so forth. Hence, the early …
Recent trends in artificial intelligence-assisted coronary atherosclerotic plaque characterization
A Gudigar, S Nayak, J Samanth… - International journal of …, 2021 - mdpi.com
Coronary artery disease is a major cause of morbidity and mortality worldwide. Its underlying
histopathology is the atherosclerotic plaque, which comprises lipid, fibrous and—when …
histopathology is the atherosclerotic plaque, which comprises lipid, fibrous and—when …
Evaluation of transfer learning of pre-trained CNNs applied to breast cancer detection on infrared images
Breast cancer accounts for the highest number of female deaths worldwide. Early detection
of the disease is essential to increase the chances of treatment and cure of patients. Infrared …
of the disease is essential to increase the chances of treatment and cure of patients. Infrared …