Deep learning methods for interpretation of pulmonary CT and X-ray images in patients with COVID-19-related lung involvement: a systematic review
MH Lee, A Shomanov, M Kudaibergenova… - Journal of Clinical …, 2023 - mdpi.com
SARS-CoV-2 is a novel virus that has been affecting the global population by spreading
rapidly and causing severe complications, which require prompt and elaborate emergency …
rapidly and causing severe complications, which require prompt and elaborate emergency …
Highly accurate multiclass classification of respiratory system diseases from chest radiography images using deep transfer learning technique
MK Jalehi, BM Albaker - Biomedical Signal Processing and Control, 2023 - Elsevier
Chest X-ray radiographic (CXR) imaging aids in the early and accurate diagnosis of lung
disease. The diagnosis process can be automated and accelerated by analyzing chest CXR …
disease. The diagnosis process can be automated and accelerated by analyzing chest CXR …
Ftl‐CoV19: A Transfer Learning Approach to Detect COVID‐19
COVID‐19 is an infectious and contagious disease caused by the new coronavirus. The total
number of cases is over 19 million and continues to grow. A common symptom noticed …
number of cases is over 19 million and continues to grow. A common symptom noticed …
To be global or personalized: Generalized federated learning with cooperative adaptation for data heterogeneity
K Ding, X Feng, H Yu - Knowledge-Based Systems, 2024 - Elsevier
As federated learning (FL) continues to advance, research has branched into two major
directions: enhancing the individual global model and developing multiple personalized …
directions: enhancing the individual global model and developing multiple personalized …
Multi-source unsupervised domain adaptation for medical image recognition
Y Liu, Q Zhang - International Conference on Intelligent Computing, 2024 - Springer
Medical image recognition is pivotal in intelligent healthcare, especially when addressing
complex diseases and human anatomical structures. Intelligent models can be trained using …
complex diseases and human anatomical structures. Intelligent models can be trained using …
[HTML][HTML] Automatic Diagnosis of Multiple Lung Diseases in Chest Radiographs Based on Ensemble CNN Models
MK Jalehi, BM Albaker - 2022 - europepmc.org
Purpose: Lung diseases are one of the most common causes of death worldwide. These
diseases can be diagnosed accurately and early with the help of Chest X-ray Radiographic …
diseases can be diagnosed accurately and early with the help of Chest X-ray Radiographic …