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[HTML][HTML] Chronic lymphocytic leukemia progression diagnosis with intrinsic cellular patterns via unsupervised clustering
Simple Summary Distinguishing between chronic lymphocytic leukemia (CLL), accelerated
CLL (aCLL), and full-blown transformation to diffuse large B-cell lymphoma (Richter …
CLL (aCLL), and full-blown transformation to diffuse large B-cell lymphoma (Richter …
Fiberstars: visual comparison of diffusion tractography data between multiple subjects
Tractography from high-dimensional diffusion magnetic resonance imaging (dMRI) data
allows brain's structural connectivity analysis. Recent dMRI studies aim to compare …
allows brain's structural connectivity analysis. Recent dMRI studies aim to compare …
Automated segmentation of white matter fiber bundles using diffusion tensor imaging data and a new density based clustering algorithm
Objective Robust and accurate segmentation of brain white matter (WM) fiber bundles
assists in diagnosing and assessing progression or remission of neuropsychiatric diseases …
assists in diagnosing and assessing progression or remission of neuropsychiatric diseases …
Fast density-peaks clustering for registration-free pediatric white matter tract analysis
X Fan, Y Duan, S Cheng, Y Zhang, H Cheng - Artificial Intelligence in …, 2019 - Elsevier
Clustering white matter (WM) tracts from diffusion tensor imaging (DTI) is primarily important
for quantitative analysis on pediatric brain development. A recently developed algorithm …
for quantitative analysis on pediatric brain development. A recently developed algorithm …
An Original Data Understanding Process
W Quan, Q Zhou, H Nan, P Wang - Proceedings of the 2nd International …, 2018 - dl.acm.org
The data mining1 standard process divides a data mining project into six phases, ie
business understanding, data understanding, data preparation, modeling, evaluation and …
business understanding, data understanding, data preparation, modeling, evaluation and …
Classification of Hyperspectral image based on superpixel segmentation and DPC algorithm
N Chen, H Zhou - … on distributed computing and applications for …, 2020 - ieeexplore.ieee.org
In this paper, we propose an algorithm named SS_DPC for hyperspectral image
classification. First, the image is segmented into hyperpixels according to spatial and …
classification. First, the image is segmented into hyperpixels according to spatial and …
Review of fast density-peaks clustering and its application to pediatric white matter tracts
Clustering white matter (WM) tracts from diffusion tensor imaging (DTI) is primarily important
for quantitative analysis on pediatric brain development. A recently developed algorithm …
for quantitative analysis on pediatric brain development. A recently developed algorithm …
Short-range Tractography with high Throughput And Reproducibility (STTAR) characterized by FDT tracing and HDBSCAN clustering
Short-range association fibers (SAFs), linking adjacent cortical regions, are dominant in
structural connectome and associated with autism and schizophrenia. However, SAFs are …
structural connectome and associated with autism and schizophrenia. However, SAFs are …
[PERNYATAAN][C] 基于相关性密度的多变量时间序列属性选择
张坤华， 丁立新， 万润泽 - 计算机应用与软件, 2017
[PERNYATAAN][C] 基于编译置换的指令随机化系统设计与实现
何红旗， 王奕森， 董卫宇， 朱怀东 - 计算机应用与软件, 2017