Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

A class of deep neural networks ... so the classification problem becomes very hard. In this paper, CNN based LeNet-5 architecture is proposed to train parameters of the CNN on Fashion MNIST dataset.

To tackle the challenging image tampering detection problem, this article presents an attentional cross-domain deep architecture, which can be trained end-to-end. This architecture is composed of ...