Aim This study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field ...

The gradient descent algorithm is a type of optimization algorithm that is widely used to solve machine learning algorithm model parameters. Through continuous iteration, it obtains the gradient of ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease (COPD). However, patients would benefit from better identification of ...

Optimization technique in deep learning neural networks is crucial to improve the parameters learning capability. Due to the recent advancements in technology and computational power, second-order ...