Identification and Quantification of Cardiovascular Structures From CCTA: An End-to-End, Rapid, Pixel-Wise, Deep-Learning Method

JACC Cardiovascular Imaging

21 Ottobre Ott 2019 29 days ago
  • Pontone G

This study designed and evaluated an end-to-end deep learning solution for cardiac segmentation and quantification.

Reference

Baskaran L, Maliakal G, Al'Aref SJ, Singh G, Xu Z, Michalak K, Dolan K, Gianni U, van Rosendael A, van den Hoogen I, Han D, Stuijfzand W, Pandey M, Lee BC, Lin F, Pontone G, Knaapen P, Marques H, Bax J, Berman D, Chang HJ, Shaw LJ, Min JK. Identification and Quantification of Cardiovascular Structures From CCTA: An End-to-End, Rapid, Pixel-Wise, Deep-Learning Method. JACC Cardiovasc Imaging 2019 Oct 11. pii: S1936-878X(19)30873-3. doi: 10.1016/j.jcmg.2019.08.025

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