BIOENGINEER

Deep Learning Framework Classifies and Counts Mineral Grains Without Segmentation Labels

A new deep learning framework segments, classifies and counts microscopic mineral grains with 97.57% accuracy without ...
BIOENGINEER

Deep Learning Model Reads Concrete Bridge Photos and Flags Multiple Defects at Once

A fine-tuned VGG16 network achieved 84.0 percent subset accuracy and an 85.2 percent micro-averaged F1-score on a held-out ...
MarketScreener

WiMi Hologram Cloud Inc. Studies Hybrid Quantum Neural Network Architecture With Classical-Quantum Synergistic Innovation To Enhance Efficiency And Accuracy In Image Classification

WiMi Hologram Cloud Inc. announced that it is researching the application of quantum machine learning to image classification. Its researched hybrid quantum neural network architecture, through ...

What is "Transfer Learning" that achieves high accuracy with little data?

In deep learning, a vast amount of training data is usually required. However, in practice, we often hit a wall where we ...
EurekAlert!

Deep learning in the diagnosis and prognosis of oral potentially malignant disorders

Oral potentially malignant disorders (OPMDs), characterized by a wide variety of types and diverse clinical manifestations, have always been difficult to diagnose and differentiate. All of them carry ...
Engineering

How and When to Apply Deep Learning in Machine Vision

In industrial automation, vision is one technology that can make your robot or machine much more flexible and able to work with disordered or unexpected information. For example, a pick and place ...