… 的机器学习分类器性能ꎬ本研究选取不 同类型的3 个分类器ꎬ分别是集成模型随机森林 (random
forestꎬ RF),支持向量机( support vector machinesꎬ SVM)以及BP神经网络ꎮ 1. 4 实验数据 …

… Individual classification of children with epilepsy using support vector machine with multiple
indices of diffusion tensor imaging[J]. Neuroimage Clin,2014,4:757-764. [16] DYRBA M,…

… On the contrary, if we want to precisely distinguish each class of posture from each other,
we will have strict constraint in our classifier. It means that we may miss some correct detection …

… A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT
images. Nature communications, 13(1): 2096. [DOI: 10.1038/s41467-022-29637-2] Cui Z, Li C, …

… 机器学习算法已被应用于舌象的颜色,纹理和形状 研究,包括支持向量机(support vector machines,
SVM)[5],随机森林(random forest,RF)[6],K - 均值聚 类( K - means clustering algorithm)[7],主…

… 3-7 (a) Detecting the variation in the depth image using background subtraction and auto
thresholding. (b) Eliminating the noise of foreground by area thresholding. ......................................…

… To address this problem, we introduce the technique of automatic music similarity measure,
as part of content-based music information retrieval task, aiming at using a computer-based …

… Ultra⁃low⁃dose 18F⁃florbetaben amyloid PET imaging using deep learning with multi⁃contrast …
Fully automated CT quantification of epicardial adiposetissuebydeep learning:amulti⁃ …

… / flat classification. Fine lines are equi-response contours [11] .......... 14 Figure 7 Pair of images
from … Figure 8 Completed Harris detector for the outdoor images [11] ................................ 15 …

… Lithology intelligent identification using support vector machine and adaptive cellular
automata in multispectral remote sensing image[J]. Optical Engineering, 2011, 50(7): 249-249. …