Nature

Performance of deep learning models for the classification and object detection of different oral white lesions using photographic images

Computer vision adjunctive technology for oral lesion diagnoses has been developed to detect and identify Oral Potentially Malignant Disorders (OPMDs) and non-OPMDs. The early detection of OPMDs can ...
Nature

Localization and classification of space objects using EfficientDet detector for space situational awareness

Over the past few decades, operations carried out by space organizations, such as the National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA), have resulted in ...
Phys.org

Researchers develop neural network for large-scale celestial object classification

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...
Visual Studio Magazine

Binary Classification Using PyTorch: Model Accuracy

In the final article of a four-part series on binary classification using PyTorch, Dr. James McCaffrey of Microsoft Research shows how to evaluate the accuracy of a trained model, save a model to file ...
Phys.org

Object classification through a single-pixel detector

Machine vision systems have many applications, including self-driving cars, intelligent manufacturing, robotic surgery and biomedical imaging, among many others. Most of these machine vision systems ...
Visual Studio Magazine

Multi-Class Classification Using LightGBM

Dr. James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform multi-class classification using Python and the ...