Deep learning hybrid 3D/2D convolutional neural network for prostate MRI recognition. Authors: Jasper Van, Choongheon Yoon, Justin Glavis-Bloom, Michelle Bardis, Alexander Ushinsky, Daniel S. Chow, ...

A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...

Max Pooling in Convolutional Neural Network is an important part of the CNN Architecture, where it is used to reduce the dimension of the image and enhance the features of the image as well.

A new computational approach, built on data-driven techniques, is making it possible to turn simple 2D sketch into a realistic 3D shape, with little or no user input necessary.