Related references
Note: Only part of the references are listed.Deep multi-instance transfer learning for pneumothorax classification in chest X-ray images
Yuchi Tian et al.
MEDICAL PHYSICS (2022)
DSU-Net: Distraction-Sensitive U-Net for 3D lung tumor segmentation
Junting Zhao et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2022)
Using X-ray images and deep learning for automated detection of coronavirus disease
Khalid El Asnaoui et al.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS (2021)
Deep-Learning-Based Coronary Artery Calcium Detection from CT Image
Sungjin Lee et al.
SENSORS (2021)
Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases
Dina M. Ibrahim et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2021)
Multi-Class Classification of Lung Diseases Using CNN Models
Min Hong et al.
APPLIED SCIENCES-BASEL (2021)
Diagnostic performance of artificial intelligence model for pneumonia from chest radiography
TaeWoo Kwon et al.
PLOS ONE (2021)
Deep learning applied to automatic disease detection using chest X-rays
Daniel A. Moses
JOURNAL OF MEDICAL IMAGING AND RADIATION ONCOLOGY (2021)
Deep Learning in Physiological Signal Data: A Survey
Beanbonyka Rim et al.
SENSORS (2020)
A Survey of Deep Learning for Lung Disease Detection on Medical Images: State-of-the-Art, Taxonomy, Issues and Future Directions
Stefanus Tao Hwa Kieu et al.
JOURNAL OF IMAGING (2020)
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks
Ioannis D. Apostolopoulos et al.
PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE (2020)
An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare
Okeke Stephen et al.
JOURNAL OF HEALTHCARE ENGINEERING (2019)
Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization
F. Pasa et al.
SCIENTIFIC REPORTS (2019)
Is bigger always better? A controversial journey to the center of machine learning design, with uses and misuses of big data for predicting water meter failures
Marco Roccetti et al.
JOURNAL OF BIG DATA (2019)
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)