To evaluate the diagnostic accuracy of an algorithm, it can be compared ... algorithm for multi-label skin lesion classification, Medical Image Analysis (2021). DOI: 10.1016/j.media.

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, ...

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 ...

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 ...

In the ocean sciences, robots provide views of the unexplored and can navigate environments not safely accessible to humans.

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

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 ...