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

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

Tumor heterogeneity is a crucial area of cancer research wherein inter- and intra-tumor differences are investigated to assess and monitor disease development and progression, especially in cancer. The proliferation of imaging and linked genomic data has enabled us to evaluate tumor heterogeneity on...

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Bibliographic Details
Main Authors: Abhijoy Saha, Sayantan Banerjee, Sebastian Kurtek, Shivali Narang, Joonsang Lee, Ganesh Rao, Juan Martinez, Karthik Bharath, Arvind U.K. Rao, Veerabhadran Baladandayuthapani
Format: Article
Language:English
Published: Elsevier 2016-01-01
Series:NeuroImage: Clinical
Subjects:
Glioblastoma
Medical imaging
Tumor heterogeneity
Density estimation
Clustering
Fisher–Rao metric
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158216300882

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