Image processing and machine learning for equine image analysis

Inspired by the success of deep learning approaches in human biomedical applications, applying deep learning in veterinary, specifically equine, diagnostic imaging is attracting increasing interest. The objective of this research project is to achieve automatic deep-learning based equine image analysis and assessment, including 1) automatic assessment of upper respiratory tract of racehorses from endoscopy videos; and 2) developing automatic assessment of horse phalanges from x-ray images. We believe that the developed DL methods can provide useful assisted-diagnostic tools that eases and speeds up the work of veterinarians. The developed algorithms will be integrated into the partner’s products, thereby significantly enhancing their competitiveness in the market, and contributing more to Canadian job market.

Faculty Supervisor:

Jane Wang

Student:

Partner:

Point To Point Research and Development

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program: