AI Spots Grape Leaf Diseases With Over 99 Percent Accuracy
Researchers have combined a pretrained ResNet50 with a Convolutional Block Attention Module to detect grape leaf diseases with over 99 ...
Researchers have combined a pretrained ResNet50 with a Convolutional Block Attention Module to detect grape leaf diseases with over 99 ...
Researchers at The Ohio State University combined polarization-sensitive optical coherence tomography with a deep learning model to detect and localize ...
FDA researchers have built HistoART, a system that uses a fine-tuned pathology foundation model to detect six common artifact types ...
Researchers have developed a transformer-based multimodal AI model that accurately identifies sarcopenia and severe sarcopenia in gastric cancer patients using ...
A new baseline study shows that deep learning can learn meaningful microstructural information from severely imbalanced ultra-high carbon steel images, ...
A multi-center Chinese study shows that radiomics and deep learning models applied to routine carotid CT angiography can predict plaque ...
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© 2025 Scienmag - Science Magazine