HCO-RLF: Hybrid classification optimization using recurrent learning and fuzzy for COVID-19 detection on CT images
K Balasamy, V Seethalakshmi - Biomedical Signal Processing and Control, 2025 - Elsevier
COVID-19 infection detection through initial lesion classification provides early diagnosis
and prevents breathing difficulties. Detecting the infectious part of the lungs using …
and prevents breathing difficulties. Detecting the infectious part of the lungs using …
Collapsed lung disease classification by coupling denoising algorithms and deep learning techniques
Lung collapse is an adverse lung condition that occurs due to an injury, tumor, or cancer in
the lung. Atelectasis and pneumothorax are two primary lung disorders that can lead to the …
the lung. Atelectasis and pneumothorax are two primary lung disorders that can lead to the …
Machine learning-based screening solution for COVID-19 cases investigation: socio-demographic and behavioral factors analysis and COVID-19 Detection
KMA Uddin, FS Prity, M Tasnim, SN Jannat… - Human-Centric …, 2023 - Springer
The COVID-19 pandemic has unleashed an unprecedented global crisis, releasing a wave
of illness, mortality, and economic disarray of unparalleled proportions. Numerous societal …
of illness, mortality, and economic disarray of unparalleled proportions. Numerous societal …
A wavelet and local binary pattern-based feature descriptor for the detection of chronic infection through thoracic X-ray images
This investigation attempts to propose a novel Wavelet and Local Binary Pattern-based
Xception feature Descriptor (WLBPXD) framework, which uses a deep-learning model for …
Xception feature Descriptor (WLBPXD) framework, which uses a deep-learning model for …