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
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 ...
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...
A recent review concluded that artificial intelligence (AI) is rapidly transforming the diagnosis and treatment of haematological malignancies by enhancing diagnostic accuracy and ...
High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...
A new study published in the Journal of the American Medical Association showed that using retinal scans of premature infants ...
AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results