Concept: Convolutional neural network
Quantum-inspired fused explainable deep learning framework for early enamel caries classification in intraoral photographs
Automated detection of early tooth decay in photographs using AI with visual explanations
Geospatial foundation models enable data-efficient tree species mapping in temperate mountain forests
Pretrained satellite models identify tree species with less training data
Evaluation of Software Implemented Binarized MLP-Mixer
Reducing MLP-Mixer neural networks to binary weights for edge device deployment
A deep learning vision–language model for diagnosing pediatric dental diseases
Combining images and text to detect tooth decay and infections in children's dental X-rays
