… , Bayesian networks for uncertain reasoning, support vector machine (SVM) for classifiers, …
a fully automatic identification system for cutting tools in turning-milling machines so that the …

… classification and differential diagnosis of meningiomas. Both have the characteristics of fast
and accurate, fully automated … 序列的支持向量机(support vector machine, SVM)模型效果最佳…

… Wavelet transform not only can transform an image from spatial domain to frequency
domain, but also has information of both two domains. Similar to the Fourier transform, wavelet …

… 其选用了支持向量机（support vector machine，SVM）和基础学习者（base learner，BLR）2种
分类器来构建数据模型，用于诊断4种牙源性囊肿（含牙囊肿、牙源性角化囊肿、侧牙周囊肿、腺牙源…

… Glioma is the most common malignant brain tumor and classification of low grade glioma
(… Third, balanced support vector machine (SVM) classifier was trained and tested using 10 …

… preprocessing, classification, and segmentation and transfer … Pathology datasets are usually
stored in a pyramidal tiled image … Classification of breast cancer histology images using …

… Support vector machine(SVM), linear discriminant analysis(LDA), auto-encoder(AE),
Logistic regression(LR), Logistic regression via Lasso(LR-Lasso), and native bayes(NB)models …

… brain tumor,and its grading is crucial for treatment decisions and prognosis.Currently,histopathology
remains the gold standard for grading… (support vector machine,SVM)[61,64,75-76]和 …

… Brain tumor grading based on neural networks and … A generic support vector machine
model for preoperative … cancer by fully automated magnetic resonance imaging classification: …

… [39] used a fully automatic segmentation method combined with adaptive and reasoning …
and fuzzy region growing to automatically segment brain tumor tissues on MR images. Xia et al. …