Adaptive Fruitfly Based Modified Region Growing Algorithm for Cardiac Fat Segmentation Using Optimal Neural Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s10916-019-1227-3.pdf
Reference37 articles.
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3. Ding, X., Terzopoulos, D., Diaz-Zamudio, M., Berman, D.S., Slomka P.J., and Dey, D., Automated epicardial fat volume quantification from non-contrast CT. J. Med. Imag., 90340I-9034, 2014.
4. Pontone, G., Andreini, D., Bertella, E., Petullà, M., Russo, E., Innocenti, E., and Mushtaq, S., Comparison of cardiac computed tomography versus cardiac magnetic resonance for characterization of left atrium anatomy before radiofrequency catheter ablation of atrial fibrillation. Int. J. Cardiol. 179:114–112, 2015.
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