Brain tumors must be classified to determine their severity and appropriate therapy. Applying
Artificial Intelligence to medical imaging has enabled remarkable developments. The …

Brain tumor classification using machine learning algorithms is pivotal for medical
diagnostics, particularly in magnetic resonance imaging (MRI) analysis. This review …

This study addresses the critical challenge of accurately classifying brain tumors using
artificial intelligence. Early detection is crucial, as untreated tumors can be fatal. Despite …

Rice classification and quality detection are therefore crucial for ensuring the safety and
quality of rice for human consumption and reducing the financial losses associated with rice …

To enhance the efficiency and intelligence of laser ultrasonic detection of metal surface
defects, a detection method based on digital twins is proposed. Given the scarcity of defect …

Radiologists confront formidable challenges when confronted with the intricate task of
classifying brain tumors through the analysis of MRI images. Our forthcoming manuscript …

Brain tumors are among the most lethal diseases, and early detection is crucial for improving
patient outcomes. Currently, magnetic resonance imaging (MRI) is the most effective method …

If a brain tumor is not properly diagnosed, it might result in fatal consequences and major
health issues. As a result, a key component of diagnosis is the early identification of brain …

Transfer learning has proven to be a valuable technique for deploying machine learning
models on edge devices and embedded systems. By leveraging pre-trained models and fine …

Timely detection of brain tumors is crucial for develo** effective treatment strategies and
improving the overall well-being of patients. We introduced an innovative approach in this …