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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 ...
News-Medical.Net on MSN
New AI-based approach detects fatty deposits inside coronary arteries using OCT images
Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries using optical coherence tomography (OCT) images. Because these lipid-rich ...
Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries using optical coherence tomography (OCT) images. Because these lipid-rich ...
Researchers improved a deep learning model that detects live bacteria in food samples within three hours. By training it to ...
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 using ...
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 ...
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