Ω-Net (Omega-Net): Fully automatic, multi-view cardiac MR detection, orientation, and segmentation with deep neural networks

• Published in: Medical image analysis Vol. 48; pp. 95 - 106
• Main Authors: Vigneault, Davis M., Xie, Weidi, Ho, Carolyn Y., Bluemke, David A., Noble, J. Alison
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.08.2018
• Subjects: Cardiac magnetic resonance; Deep convolutional neural networks; Semantic segmentation; Spatial transformer networks; Deep convolutional neural networks; 99-00; Spatial transformer networks; Semantic segmentation; 00-01; Cardiac magnetic resonance

•The authors propose Omega-Net: A novel convolutional neural network architecture for the detection, orientation, and segmentation of cardiac MR images.•Three modules comprise the network: a coarse-grained segmentation module, an attention module, and a fine-grained segmentation module.•The network...