# Automatic Classification of Fatty Liver Disease Based on Supervised Learning and Genetic Algorithm
## 3 Materials and Methods
### Methodology
#### 3.2.2 Classification
354-361. * [PERSON] et al. (2011) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Neural network based focal liver lesion diagnosis using ultrasound images. _Comput. Med. Imaging Gr._**2011**, _35_, 315-323. [CrossRef]
* [PERSON] et al. (2012) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Data mining framework for fatty liver disease classification in ultrasound: A hybrid feature extraction paradigm. _Med. Phys._**2012**, _39_, 4255-4264. [CrossRef]
* [PERSON] et al. (2012) [PERSON]; [PERSON]; [PERSON] Global and local detection of liver steatosis from ultrasound. In Proceedings of the 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, USA, 28 August-1 September 2012; IEEE: Piscataway, NY, USA, 2012; pp. 6547-6550. * [PERSON] et al. (2008) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Computer aided diagnosis of fatty liver ultrasonic images based on support vector machine. In Proceedings of the 2008 30 th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, BC, Canada, 20-24 August 2008; IEEE: Piscataway, NY, USA, 2008; pp. 4768-4771. * [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Artificial neural network application in the diagnosis of disease conditions with liver ultrasound images. _Adv. Bioinform._**2014**, _2014_, 708279. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON] Privacy-preserving k-nearest neighbor computation in multiple cloud environments. _IEEE Access_**2016**, \(4\), 9589-9603. [CrossRef]
* [PERSON] et al. (2015) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Detection of fibrosis in liver biopsy images by using Bayesian classifier. In Proceedings of the 2015 7 th International Conference on Knowledge and Smart Technology (KST), Chon Buri, Thailand, 28-31 January 2015; IEEE: Piscataway, NY, USA, 2015; pp. 184-189. * [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON] Classification of hadith according to its content based on supervised learning algorithms. _IEEE Access_**2019**, \(7\), 152379-152387. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Novel entropy and rotation forest-based credal decision tree classifier for landslide susceptibility modeling. _Entropy_**2019**, _21_, 106. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON] Optimized superpixel and AdaBoost classifier for human thermal face recognition. _Signal Image Video Processing_**2018**, _12_, 711-719. [CrossRef]
* [PERSON] et al. (2015) [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] A multiple classifier learning by sampling system for white blood cells segmentation. In Proceedings of the International Conference on Computer Analysis of Images and Patterns, Valletta, Malta, 2-4 September 2015; Springer: Cham, Switzerland, 2015; pp. 415-425. * [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON] Neural network-based automatic liver tumor segmentation with random forest-based candidate filtering. _arXiv_**2017**, arXiv:1706.00842. * [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]. Prediction of fatty liver disease using machine learning algorithms. _Comput. Methods Programs Biomed._**2019**, _170_, 23-29. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON] Adaptive fuzzy clustering-based texture analysis for classifying liver cancer in abdominal CT images. _Int. J. Comput. Biol. Drug Des._**2018**, _11_, 192-208. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Automatic Liver Tumor Segmentation Based on Random Forest and Fuzzy Clustering. In _International Conference on Sensing and Imaging_; Springer: Cham, Switzerland, 2017; pp. 403-410. * [PERSON] (2019) [PERSON] Extraction and Classification of Liver Abnormality Based on Neutrosophic and SVM Classifier.