Jul 11, 2019 · The cascading convolutions have the ability of perceiving multi-scale features of myocardial as well as hierarchical semantic and contextual ...

Jul 26, 2019 · Myocardial segmentation plays a pivotal role in the clinical diagnosis of cardiac diseases. The difference in size and shape of the heart ...

It is capable of directly improving the performance of myocardium segmentation. We perform an assessment of our approach on 165 CMR T1 mapping images with lower ...

Get details about the chapter of CCNET: Cascading Convolutions for Cardiac Segmentation from book Artificial Intelligence and Security: 5th International ...

CCNET: Cascading Convolutions for Cardiac Segmentation ... Myocardial segmentation plays a pivotal role in the clinical diagnosis of cardiac diseases. The ...

$71.49. Artificial Intelligence.- CCNET: Cascading Convolutions for Cardiac Segmentation.- A Deep Belief Networks Based Prediction Method for Identification ...

TL;DR: A network capable of directly improving the performance of myocardium segmentation by means of a plurality of cascaded convolution layers is put forward, ...

The proposed method is based on a Convolutional Neural Network that combines the advantages of U-Net and SegNet architectures for ventricles segmentation ...

$68.74. Artificial Intelligence.- CCNET: Cascading Convolutions for Cardiac Segmentation.- A Deep Belief Networks Based Prediction Method for Identification ...

Artificial Intelligence -- CCNET: Cascading Convolutions for Cardiac Segmentation -- A Deep Belief Networks Based Prediction Method for Identification of ...