A cross-platform and distributive database system for cumulative tumor measurement.

Jiaxin Huang, David A. Bluemke, Xiao Zhang, Ronald M. Summers, Les R. Folio, Jianhua Yao

Research output: Contribution to journalArticlepeer-review

Abstract

This paper discusses the development of a cross-platform, web accessible, vendor-independent database system capable of storing and comparing longitudinal tumor measurements for multiple tumors. This innovative system can create a comprehensive cumulative report that summarizes clinical findings and links to the original image studies, which will clinically enhance the workflow of oncologists. A case study on a pancreatic tumor data set with 524 tumor measurements and 134 patients is demonstrated.

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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