… Fully automatic segmentation of brain tumor images using support vector machine classification
… Med Image Comput Comput Assist Interv,2011,14(Pt3):354-361. [14]王瑞瑞,李陆,丁晓云,…

… Accurate segmentation of brain tumors from magnetic resonance images is the key to the …
,其中,随机森林 (Random forest)和支持向量机(Support vector machine)等机器学习方法[1–4] 有效…

… image analysis. The existing research literature includes Alzheimer's disease MRI, Parkinson's
disease MRI, brain tumor … data analysis using support vector machine. British Journal of …

… The supervised machine learning algorithms that were utilized for classification tasks
include: i) support vector machine (SVM) for which a linear C-SVM algorithm was applied, ii) …

… Postaire, Color image segmentation by pixel classification in an adapted hybrid color space.
Application to soccer image analysis, Computer Vision and Image Understanding, Volume …

… 方法在2015 年与2016 年的Brain Tumor Segmentation Challenge 中获得了良好的分割效果。
… 选择支持向量机（support vector machine，SVM）方法作为分类比较 [16] ，并将本文方法结果与…

… Commonly used algorithms in neuroscience include the support vector machine, Bayesian
… diseases, brain tumor, brain trauma, or any medical history of neurosurgery. From January …

… , such as a support vector machine (SVM), as a classifier. DL and neural networks have been
implemented in translational studies ranging in focus from sequence binding (Alipanahi et …

… A linear classifier achieves this by making a classification … technique or support vector
machines (SVM)-based classifier can be … images This is a fully automated method to remove scalp …

… ,随机森 林,支持向量机(support vector machine,SVM)等需要预先 进行… Brain tumor segmentation
and grading of lower-grade … A novel fully automated MRI-based deep-learning method for …