Artificial intelligence for automatic cerebral ventricle segmentation and volume calculation: A clinical tool for the evaluation of pediatric hydrocephalus

Jennifer L. Quon, Michelle Han, Lily H. Kim, Mary Ellen Koran, Leo C. Chen, Edward H. Lee, Jason Wright, Vijay Ramaswamy, Robert M. Lober, Michael D. Taylor, Gerald A. Grant, Samuel H. Cheshier, John R.W. Kestle, Michael S.B. Edwards, Kristen W. Yeom

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)131-138
Number of pages8
JournalJournal of Neurosurgery: Pediatrics
Volume27
Issue number2
DOIs
StatePublished - Feb 2021
Externally publishedYes

ASJC Scopus Subject Areas

  • Surgery
  • Pediatrics, Perinatology, and Child Health
  • Clinical Neurology

Keywords

  • Artificial intelligence
  • Cerebral ventricles
  • Deep learning
  • Hydrocephalus
  • Machine learning
  • Ventricular volume

Cite this