## 6 Conclusions
[CrossRef]
* [PERSON] (1979) [PERSON] A threshold selection method from gray-level histograms. _IEEE Trans. Syst. Man, Cybern._**1979**, \(9\), 62-66. [CrossRef]
* [PERSON] et al. (2011) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; et al. Integration of 3D electroanatomic maps and magnetic resonance scar characterization into the navigation system to guide ventricular tachycardia ablation clinical perspective. _Circ. Arrhythmia Electrophysiol._**2011**, \(4\), 674-683. [CrossRef]
* [PERSON] et al. (2007) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; et al. Infact tissue heterogeneity by magnetic resonance imaging identifies enhanced cardiac arrhythmia susceptibility in patients with left ventricular dysfunction. _Circulation_**2007**, _115_, 2006-2014. [CrossRef]
* [PERSON] et al. (2006) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Quantitative myocardial infarction on delayed enhancement MRI. Part I: Animal validation of an automated feature analysis and combined thresholding infarct sizing algorithm. _J. Magn. Reson. Imaging_**2006**, _23_, 298-308. [CrossRef]
* [PERSON] et al. (2009) [PERSON]; [PERSON]; [PERSON]; [PERSON] Reproducible classification of infarct heterogeneity using fuzzy clustering on multicontrast delayed enhancement magnetic resonance images. _IEEE Trans. Med Imaging_**2009**, _28_, 1606-1614. [CrossRef]
* [PERSON] et al. (2005) [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON] A fast and effective method to assess myocardial necrosis by means of contrast magnetic resonance imaging. _[PERSON]. Cardiovasc. Magn. Reson._**2005**, \(7\), 487-494. [CrossRef] [PubMed]* _[PERSON] et al. (2004)_ _[PERSON]; [PERSON]; [PERSON]; [PERSON] Quantification of delayed enhancement MR images. In Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, Saint-malo, France, 26-29 September 2004; Springer: Berlin/Heidelberg, Germany, 2004; pp. 250-257._
* [PERSON] et al. (2003) [PERSON]; [PERSON]; [PERSON]; [PERSON] Semi-automatic segmentation of nonviable cardiac tissue using cine and delayed enhancement magnetic resonance images. In Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications; International Society for Optics and Photonics: Bellingham, WA, USA, 2003; Volume 5031, pp. 242-252._
* _[PERSON] et al. (2012)_ _[PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Automated quantification of myocardial infarction using graph cuts on contrast delayed enhanced magnetic resonance images. Quant. Imaging Med. Surg._ **2012**, \(2\), 81. [PubMed]
* _[PERSON] et al. (2017)_ _[PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Segmentation Integrating Watershed and Shape Priors Applied to Cardiac Delayed Enhancement MR Images. IRBM_ **2017**, _38_, 224-227. [CrossRef]
* _[PERSON] et al. (2016)_ _[PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] Myocardial infarct segmentation from magnetic resonance images for personalized modeling of cardiac electrophysiology. IEEE Trans. Med. Imaging_ **2016**, _35_, 1408-1419. [CrossRef] [PubMed]
* _[PERSON] et al. (2014)_ _[PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] Interactive hierarchical-flow segmentation of scar tissue from late-enhancement cardiac MR images. IEEE Trans. Med. Imaging_ **2014**, _33_, 159-172. [CrossRef] [PubMed]
* _[PERSON] et al. (2018)_ _[PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Automated Scar Segmentation From CMR-LGE Images Using a Deep Learning Approach. In Proceedings of the 2018 Computing in Cardiology Conference (CinC), Maastricht, The Netherlands, 23-26 September 2018; IEEE: Piscataway, NJ, USA, 2018; Volume 45, pp.