A novel label fusion method for multi-atlas based image segmentation method is developed by integrating semi-supervised and supervised machine learning techniques.Particularly, our method is developed in a pattern recognition based multi-atlas label fusion framework.We build random forests classification models for each image voxel to be segmented
A problem is considered of the minimization of a convex and monotonically increasing cost function subject to an upper bound of a convex and monotonically decreasing failure probability function.An algorithm is defined for the parametrical solution of the problem with respect to the selected failure probability level; the algorithm is applicable to
This research conducts a comprehensive investigation of the efficacy of various machine learning algorithms for fire detection.The algorithms that were examined include logistic regression, decision tree, random forest, support vector classifier, gradient boosting, K-nearest neighbors, Gaussian naive Bayes, multilayer perceptron classifier, and XGB
Background and introduction: Lung cancer is a prevalent and deadly disease globally.Non-small cell lung cancer (NSCLC) is the most common subtype, comprising 85% of cases.Case report: A 65-year-old male ex-smoker presented to our facility with a nocturnal cough.Various investigations revealed that he had metastatic NSCLC, for which he underwent che
Purpose: The profession of accountant as a profession of public trust is related to observing ethical and legal standards.In the course of his work, an accountant who offers his services on the market SENCHA JAPANESE GREEN TEA should consider the interests of the stakeholders of signed contracts, and due to the nature of his business, he should con