Ensemble ResDenseNet: Alzheimer's disease staging from brain MRI using deep weighted ensemble transfer learning
Alzheimer's disease (AD) is a persistent neurological disorder with almost no current cure,
although available medications can mitigate its progression. The timely identification and …
although available medications can mitigate its progression. The timely identification and …
[PDF][PDF] Fetal Brain Planes Classification Using Deep Ensemble Transfer Learning from U-Net Segmented Fetal Neurosonography Images
Fetal neurosonography is potentially used to examine the fetal brain by scanning the trans-
thalamic (TT), trans-cerebellum (TC), and trans-ventricular (TV) planes. Cross-sectional …
thalamic (TT), trans-cerebellum (TC), and trans-ventricular (TV) planes. Cross-sectional …
Predictors of the severity of the course of COVID-19: Demographic factors, clinical signs and laboratory markers
K Bartoszewicz, M Bartoszewicz… - Journal of Medical …, 2024 - microbiologyresearch.org
Introduction. The Coronavirus Disease 2019 (COVID-19) pandemic has had a significant
impact on global healthcare, with high mortality and severe complications remaining a major …
impact on global healthcare, with high mortality and severe complications remaining a major …
[HTML][HTML] CTCOVID19: automatic COVID-19 model for computed tomography scans using deep learning
C Antunes, J Rodrigues, A Cunha - Intelligence-Based Medicine, 2025 - Elsevier
COVID-19 is an extremely contagious respiratory sickness instigated by the severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2). Common symptoms encompass fever …
respiratory syndrome coronavirus 2 (SARS-CoV-2). Common symptoms encompass fever …
Small size CNN-Based COVID-19 Disease Prediction System using CT scan images on PaaS cloud
COVID-19 is a highly contagious disease that can quickly spread and overwhelm healthcare
systems if not controlled in time. Reverse Transcription Polymerase Chain Reaction (RT …
systems if not controlled in time. Reverse Transcription Polymerase Chain Reaction (RT …
Artifact Detection in Lung Ultrasound: An Analytical Approach
Lung ultrasound is used to detect various artifacts in the lungs that support the diagnosis of
different conditions. There is ongoing research to support the automatic detection of such …
different conditions. There is ongoing research to support the automatic detection of such …
COVID-19 Severity Prediction Using Combined Machine Learning and Transfer Learning Approaches
AR Rambola, S Andavar, RSP Raj - Brazilian Archives of Biology and …, 2024 - SciELO Brasil
The global spread of Coronavirus Disease 2019 (COVID-19) has resulted in an extensive
pandemic, with the virus rapidly transmitting through interactions among infected individuals …
pandemic, with the virus rapidly transmitting through interactions among infected individuals …
COVID-19 Detection Ensemble Analysis with Advanced Feature Descriptors (CODEX-AFD) Using Machine Learning Techniques
Infectious diseases like Covid-19 continue to pose a significant global health risk, with the
potential to cause widespread pandemics. Precise prediction and detection of Covid-19 …
potential to cause widespread pandemics. Precise prediction and detection of Covid-19 …
Quantitative Explainability Study of Deformable Convolutional Neural Networks using Chest X-rays
VK Chundru, MS Kilinc, A Lim… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Traditional convolutional neural networks (tCNNs) often struggle with medical image
analysis due to complex transformations and irregular structures with weak boundaries …
analysis due to complex transformations and irregular structures with weak boundaries …
Forecasting Analysis of Hourly Temperature using LSRU Based Hybrid Deep Learning Model
Over the years due to various human-made and natural disasters, there is a sharp change in
the temperature pattern across the planet. A minimal sudden increase or decrease in the …
the temperature pattern across the planet. A minimal sudden increase or decrease in the …