Anatomic segmentation improves prostate cancer detection with artificial neural networks analysis of 1H magnetic resonance spectroscopic imaging Academic Article uri icon

Overview

MeSH Major

  • Biomarkers, Tumor
  • Magnetic Resonance Imaging
  • Neural Networks (Computer)
  • Pattern Recognition, Automated
  • Prostatic Neoplasms
  • Proton Magnetic Resonance Spectroscopy

abstract

  • Automatic analysis of prostate MRSI to detect cancer using ANN model is feasible. Application of anatomical segmentation from MRI as an additional input to ANN improves the accuracy of detecting cancerous voxels from MRSI.

publication date

  • December 2014

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC4306557

Digital Object Identifier (DOI)

  • 10.1002/jmri.24487

PubMed ID

  • 24243554

Additional Document Info

start page

  • 1414

end page

  • 21

volume

  • 40

number

  • 6