AI Learns to Spot 33 Bacterial Species From Microscope Images in a Fraction of a Second
Researchers in India have built a lightweight, attention-guided deep learning model that classifies 33 bacterial species from Gram-stained microscope images ...
Researchers in India have built a lightweight, attention-guided deep learning model that classifies 33 bacterial species from Gram-stained microscope images ...
An independent evaluation in PLOS Digital Health finds that deep learning models excel at breast cancer detection from medical images ...
A scoping review of 118 studies finds that deep learning models excel at detecting parasites in microscopy images under experimental ...
A controlled head-to-head study shows Vision Transformers beat convolutional networks on real X-ray diffraction data once fine-tuned, while CNNs remain ...
A localized convolutional neural network trained on ASCAT satellite radar data outperforms the operational soil moisture product and, during heavy ...
Researchers have trained convolutional neural networks on images from a modified 3D printer to automatically identify living, Rose Bengal-stained benthic ...
Researchers at the American University of Beirut used hyperspectral imaging and machine learning models to predict nickel and cadmium contamination ...
Researchers in Vietnam have built a hybrid vision-language AI that diagnoses grapevine diseases with 98.7 percent accuracy while explaining its ...
Researchers have developed a federated deep learning framework that detects financial fraud across banks with high accuracy while keeping all ...
A 2024 study claiming high-accuracy deep learning detection of ovarian cancer was retracted after its ultrasound dataset was found to ...
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© 2025 Scienmag - Science Magazine