Developing Machine Vision Algorithms to Score MBSImP

Developing Machine Vision Algorithms to Score MBSImP 2022-05-04T14:19:17-05:00

Project Description

This investigation aims to leverage advances in machine vision to develop algorithms that can take in standard videofluoroscopy recordings of swallows and output reliable MBSImP scores. To accomplish this a multi-stage machine vision algorithm has been developed to build machine learning guided by expert knowledge from speech language pathologists.

PhD Candidate Principal Investigator:

  • Alex Clain

Co-Investigators:

  • Dr. Bonnie Martin-Harris
  • Dr. Ying Wu
  • Pengbo Zhao