A colorimetric and SERS-based LFIA for sensitive and simultaneous detection of three stroke biomarkers: An ultra-fast and sensitive point-of-care testing platform
Y Wang, Q Zhang, M Huang, G Ai, X Liu, Y Zhang, R Li… - Talanta, 2025 - Elsevier
Stroke ranks as the second leading cause of disability and mortality globally. Biomarker
detection represents a promising avenue for predicting disease severity and prognosis. The …
detection represents a promising avenue for predicting disease severity and prognosis. The …
Uncertainty-RIFA-Net: Uncertainty Aware Robust Information Fusion Attention Network for Brain Tumors Classification in MRI Images
Malignant brain tumors pose a significant global threat, emphasizing the critical need for
efficient diagnostic methods utilizing MRI. Manual analysis of MRI images is labor-intensive …
efficient diagnostic methods utilizing MRI. Manual analysis of MRI images is labor-intensive …
Hybrid deep learning based stroke detection using CT images with routing in an IoT environment
AB Sreekumari… - Network: Computation in …, 2025 - Taylor & Francis
Stroke remains a leading global health concern and early diagnosis and accurate
identification of stroke lesions are essential for improving treatment outcomes and reducing …
identification of stroke lesions are essential for improving treatment outcomes and reducing …
Enhancing Image Recognition for Security Applications: A Machine Learning Approach
This study investigates machine learning techniques for image recognition in security
applications. It employs preprocessing methods like OpenCV, Pillow, and TensorFlow …
applications. It employs preprocessing methods like OpenCV, Pillow, and TensorFlow …
Enhancing Stroke Diagnosis with Machine Learning and SHAP-Based Explainable AI Models
Stroke is a serious illness that needs to be treated quickly to enhance patient outcome.
Machine Learning (ML) offers promising potential for automated stroke detection through …
Machine Learning (ML) offers promising potential for automated stroke detection through …
NeuroNet: A Deep Learning Framework for Stroke Analysis
The revolutionary potential of a deep learning framework for stroke analysis and prediction
in the healthcare industry is examined in this paper. The suggested framework uses large …
in the healthcare industry is examined in this paper. The suggested framework uses large …