Medical long-tailed learning for imbalanced data: bibliometric analysis
Background In the last decade, long-tail learning has become a popular research focus in
deep learning applications in medicine. However, no scientometric reports have provided a …
deep learning applications in medicine. However, no scientometric reports have provided a …
Recent advancements and future prospects in active deep learning for medical image segmentation and classification
Medical images are helpful for the diagnosis, treatment, and evaluation of diseases. Precise
medical image segmentation improves diagnosis and decision-making, aiding intelligent …
medical image segmentation improves diagnosis and decision-making, aiding intelligent …
Enhancing prognosis accuracy for ischemic cardiovascular disease using K nearest neighbor algorithm: a robust approach
Ischemic Cardiovascular diseases are one of the deadliest diseases in the world. However,
the mortality rate can be significantly reduced if we can detect the disease precisely and …
the mortality rate can be significantly reduced if we can detect the disease precisely and …
An optimized role-based access control using trust mechanism in e-health cloud environment
In today's world, services are improved and advanced in every field of life. Especially in the
health sector, information technology (IT) plays a vigorous role in electronic health (e …
health sector, information technology (IT) plays a vigorous role in electronic health (e …
Transforming educational insights: Strategic integration of federated learning for enhanced prediction of student learning outcomes
Numerous educational institutions utilize data mining techniques to manage student
records, particularly those related to academic achievements, which are essential in …
records, particularly those related to academic achievements, which are essential in …
COPDNet: An Explainable ResNet50 Model for the Diagnosis of COPD from CXR Images
Chronic Obstructive Pulmonary Disease (COPD) is a prevalent pulmonary condition marked
by enduring respiratory symptoms and airflow limitations. Prompt diagnosis is vital for …
by enduring respiratory symptoms and airflow limitations. Prompt diagnosis is vital for …
xAI: An Explainable AI Model for the Diagnosis of COPD from CXR Images
Chronic Obstructive Pulmonary Disease (COPD) is a major health concern worldwide, the
third leading cause of death. However, it often goes unnoticed until it reaches severe stages …
third leading cause of death. However, it often goes unnoticed until it reaches severe stages …
Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas
Diabetic retinopathy (DR) significantly burdens ophthalmic healthcare due to its wide
prevalence and high diagnostic costs. Especially in remote areas with limited medical …
prevalence and high diagnostic costs. Especially in remote areas with limited medical …
Advanced feature learning and classification of microscopic breast abnormalities using a robust deep transfer learning technique
Breast cancer is a major health threat, with early detection crucial for improving cure and
survival rates. Current systems rely on imaging technology, but digital pathology and …
survival rates. Current systems rely on imaging technology, but digital pathology and …
Robust Deep Neural Network-Based Framework for Predicting and Classifying Capsid Protein Based on Biomedical Data
Capsid protein is a pathogenic protein that needs to be examined because it helps in the
virus's proliferation and mutation. Due to this protein, the virus can replicate and reproduce …
virus's proliferation and mutation. Due to this protein, the virus can replicate and reproduce …