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CNN-based system improves lung nodule detection and classification
Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and ...
The proposed CNN-based system demonstrates the feasibility and robustness of deep learning for automatic lung nodule detection and classification. Despite strong results, the study acknowledges ...
Researchers improved a deep learning model that detects live bacteria in food samples within three hours. By training it to ...
Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries using ...
AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...
A recent review concluded that artificial intelligence (AI) is rapidly transforming the diagnosis and treatment of haematological malignancies by enhancing diagnostic accuracy and ...
Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries ...
High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...
Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...
For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built solution.
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