Acoustic COVID-19 Detection Using Multiple Instance Learning
M Reiter, P Franz - IEEE Journal of Biomedical and Health …, 2024 - ieeexplore.ieee.org
In the COVID-19 pandemic, a rigorous testing scheme was crucial. However, tests can be
time-consuming and expensive. A machine learning-based diagnostic tool for audio …
time-consuming and expensive. A machine learning-based diagnostic tool for audio …
Comparing PCA-Based Machine Learning Algorithms for COVID-19 Classification Using Chest X-ray Images
HA Ali, W Hariri, NS Zghal… - Baghdad Science …, 2024 - bsj.uobaghdad.edu.iq
The rapid spread of the COVID-19 pandemic has strained global healthcare systems,
necessitating efficient diagnostic methods. While Polymerase Chain Reaction (PCR) and …
necessitating efficient diagnostic methods. While Polymerase Chain Reaction (PCR) and …
Exploring Vision Transformers for Automated Glaucoma Disease Diagnosis in Fundus Images
Glaucoma, a challenging disease that can cause irreversible blindness if not detected early,
has garnered significant interest in utilizing deep learning and medical imaging for …
has garnered significant interest in utilizing deep learning and medical imaging for …
[CITAS][C] PAC-UNet: Parallel Dual Self-attention with Convolution for Meniscal MRI Image Segmentation
W Zhang, M Feng, C **a - International Journal on Artificial …, 2024 - World Scientific
Meniscal tears are common sports-injury disorders, and thus accurate segmentation of the
meniscus is a worthwhile means of medical diagnosis. However, due to the limited research …
meniscus is a worthwhile means of medical diagnosis. However, due to the limited research …