Morphology-based prediction of cancer cell migration using an artificial neural network and a random decision forest

Abstract

Cell migratory direction and speed are predicted based on morphological features using computer vision and machine learning algorithms.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2018
Source ID
10.1039/c8ib00106e

Entities

People

  • Brock Humphries
  • Euisik Yoon
  • Gary D. Luker
  • Kathryn E. Luker
  • Lili Chen
  • Max S. Wicha
  • Riley Brien
  • Yu-Chih Chen
  • Zhixiong Zhang

Organizations

  • National Institutes of Health
  • United States Army
  • United States Department of Defense
  • University of Michigan
  • University of Michigan Rogel Cancer Center

Tags

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Molecular Biology and Genetics
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks