Neural networks are pre-trained on ImageNet dataset for Pap stained single cell and whole-slide image classification ... framework achieves a classification accuracy of 98.55% and sensitivity ...

The model's accuracy is 91.00 percent so 91 of the 100 test ... is usually much faster than the more common sgd (stochastic gradient descent) algorithm for DNN image classification. In Keras ...

The algorithm for the image processing and the diagnostic classification ... Classification performance of the final test set was evaluated once using classification accuracy, precision, recall, ...

AMGWO, a new feature selection method inspired by grey wolves, uses adaptive strategies to enhance machine learning models.

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

In their latest paper published in Light: Science & Applications, UCLA team reports a leapfrog advance in D2NN-based image classification accuracy ... iterative pruning algorithm, so that the ...

The technology, which incorporates deep learning models, could be used in "smart" vehicles, robotics and image ... algorithms have been capable of optimizing the trade-off between detection ...