Automatic detection of coronavirus disease (COVID-19) in X-ray and CT images: a machine learning based approach
SH Kassania, PH Kassanib, MJ Wesolowskic… - Biocybernetics and …, 2021 - Elsevier
The newly identified Coronavirus pneumonia, subsequently termed COVID-19, is highly
transmittable and pathogenic with no clinically approved antiviral drug or vaccine available …
transmittable and pathogenic with no clinically approved antiviral drug or vaccine available …
Artificial intelligence in inflammatory bowel disease endoscopy: implications for clinical trials
Artificial intelligence shows promise for clinical research in inflammatory bowel disease
endoscopy. Accurate assessment of endoscopic activity is important in clinical practice and …
endoscopy. Accurate assessment of endoscopic activity is important in clinical practice and …
Recent advances in applying machine learning and deep learning to detect upper gastrointestinal tract lesions
The clinical application of a real-time artificial intelligence (AI) image processing system to
diagnose upper gastrointestinal (GI) malignancies remains an experimental research and …
diagnose upper gastrointestinal (GI) malignancies remains an experimental research and …
Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection
Automated detection and classification of gastric infections (ie, ulcer, polyp, esophagitis, and
bleeding) through wireless capsule endoscopy (WCE) is still a key challenge. Doctors can …
bleeding) through wireless capsule endoscopy (WCE) is still a key challenge. Doctors can …
Severity detection for the coronavirus disease 2019 (COVID-19) patients using a machine learning model based on the blood and urine tests
The recent outbreak of the coronavirus disease-2019 (COVID-19) caused serious
challenges to the human society in China and across the world. COVID-19 induced …
challenges to the human society in China and across the world. COVID-19 induced …
Gastrointestinal tract disease classification from wireless endoscopy images using pretrained deep learning model
J Yogapriya, V Chandran, MG Sumithra… - … methods in medicine, 2021 - Wiley Online Library
Wireless capsule endoscopy is a noninvasive wireless imaging technology that becomes
increasingly popular in recent years. One of the major drawbacks of this technology is that it …
increasingly popular in recent years. One of the major drawbacks of this technology is that it …
[HTML][HTML] Residual LSTM layered CNN for classification of gastrointestinal tract diseases
Abstract nowadays, considering the number of patients per specialist doctor, the size of the
need for automatic medical image analysis methods can be understood. These systems …
need for automatic medical image analysis methods can be understood. These systems …
Anatomical classification of upper gastrointestinal organs under various image capture conditions using AlexNet
S Igarashi, Y Sasaki, T Mikami, H Sakuraba… - Computers in Biology …, 2020 - Elsevier
Background Machine learning has led to several endoscopic studies about the automated
localization of digestive lesions and prediction of cancer invasion depth. Training and …
localization of digestive lesions and prediction of cancer invasion depth. Training and …
Feature selection may improve deep neural networks for the bioinformatics problems
Z Chen, M Pang, Z Zhao, S Li, R Miao, Y Zhang… - …, 2020 - academic.oup.com
Motivation Deep neural network (DNN) algorithms were utilized in predicting various
biomedical phenotypes recently, and demonstrated very good prediction performances …
biomedical phenotypes recently, and demonstrated very good prediction performances …
Gastrointestinal tract classification using improved LSTM based CNN
Automated medical image analysis is a challenging field of research that has become quite
widespread recently. This process, which is advantageous in terms of both cost and time, is …
widespread recently. This process, which is advantageous in terms of both cost and time, is …