DEMARCATE: Density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer.

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作者： Abhijoy,Saha ^[1] ; Sayantan,Banerjee ^[2] ; Sebastian,Kurtek ^[1] ; Shivali,Narang ^[3] ; Joonsang,Lee ^[3] ; Ganesh,Rao ^[4] ; Juan,Martinez ^[4] ; Karthik,Bharath ^[5] ; Arvind U K,Rao ^[3] ; Veerabhadran,Baladandayuthapani ^[6]

作者单位： Department of Statistics, The Ohio State University, United States. ^[1] Operations Management and Quantitative Techniques Area, Indian Institute of Management Indore, India. ^[2] Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, United States. ^[3] Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, United States. ^[4] School of Mathematical Sciences, The University of Nottingham, United Kingdom. ^[5] Department of Biostatistics, The University of Texas MD Anderson Cancer Center, United States. ^[6]

关键词 Clustering Density estimation Fisher–Rao metric Glioblastoma Medical imaging Tumor heterogeneity

主题词成年人(Adult);老年人(Aged);脑肿瘤(Brain Neoplasms);聚类分析(Cluster Analysis);女(雌)性(Female);胶质母细胞瘤(Glioblastoma);人类(Humans);磁共振成像(Magnetic Resonance Imaging);男(雄)性(Male);中年人(Middle Aged)

DOI 10.1016/j.nicl.2016.05.012

PMID 27408798

发布时间 2023-11-05

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NeuroImage. Clinical

2016年12卷

132-43页

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DEMARCATE: Density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer.

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DEMARCATE: Density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer.

NeuroImage. Clinical

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