Deep-learning is an important tool used in radiology and medical imaging. Deep-learning techniques can be used to precisely segment organs based on their boundaries to provide accurate measurements.

One of the promises of deep learning is replacing handcrafted features with efficient algorithms for unsupervised or semi-supervised feature learning and hierarchical feature extraction. In this ...

Convolutional Neural Network,Deep Convolutional Neural Network,2D Images,3D Images,3D Mesh,3D Shape,AlexNet,Annotation Algorithm,Annotation Approach,Automatic ...

Xiao Xu, Yunfei Yang, Tuanhui Zhou, Song Feng, Bo Liang, Wei Dai, Xianyong Bai, Sunspots Extraction in PMO Sunspot Drawings Based on Deep Learning, Publications of the Astronomical Society of the ...

Logo detection is a key function for many applications. However, locating logos in complex scenarios is challenging and difficult due to the large variation of types and appearance of logos. In this ...

As Tesla is working toward deploying an autonomous driving system as soon as next year, the automaker is patenting a data pipeline and deep learning system that could help them develop it faster.