Aortic Arch Anatomy Characterization from MRA: A CNN-Based Segmentation Approach
Author:
Affiliation:
1. Université de Reims Champagne Ardenne,CReSTIC,Reims,France
2. ESME Sudria Research Lab,Paris,France
3. Basecamp Vascular,Paris,France
Funder
Association Nationale de la Recherche et de la Technologie
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761708.pdf?arnumber=9761708
Reference22 articles.
1. Deepseg: Abdominal organ segmentation using deep convolutional neural networks;larsson;Swedish Symposium on Image Analysis,2016
2. Automatic segmentation of thoracic aorta segments in low-dose chest CT
3. 3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks
4. 3D Inception U-Net for Aorta Segmentation using Computed Tomography Cardiac Angiography
5. Automatic Segmentation, Detection, and Diagnosis of Abdominal Aortic Aneurysm (AAA) Using Convolutional Neural Networks and Hough Circles Algorithm
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