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: Saha, Abhijoy, Banerjee, Sayantan, Kurtek, Sebastian, Narang, Shivali, Lee, Joonsang, Rao, Ganesh, Martinez, Juan, Bharath, Karthik, Baladandayuthapani, Veerabhadran
Format: Article
Published: Elsevier 2016
Subjects:
Glioblastoma; Medical imaging; Tumor heterogeneity; Density estimation; Clustering; Fisher–Rao metric
Online Access:https://eprints.nottingham.ac.uk/44896/

Internet

https://eprints.nottingham.ac.uk/44896/

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