DeepHeartCT: A fully automatic artificial intelligence hybrid framework based on convolutional neural network and multi-atlas segmentation for multi-structure cardiac computed tomography angiography image segmentation.

Cardiac computed tomography angiography (CTA) is an emerging imaging modality for assessing coronary artery as well as various cardiovascular structures. Recently, deep learning (DL) methods have been successfully applied to many applications of medical image analysis including cardiac CTA structure segmentation. However, DL requires a large amounts of data and high-quality labels for training which can be burdensome to obtain due to its labor-intensive nature.

[CORBA-based design and packaging of picture archiving and communication system object].

Regionalization has become one of the most important trends in the development of picture archiving and communication systems (PACS) due to the existence of large amounts of information islands. The conventional PACS designed according to the DICOM standard on the basis of the C/S structure fails to meet the demand of regional information system maintenance. A regional PACS system based on common object request broker architecture (CORBA) distributed technology is therefore proposed and implemented.