About OrthoVision

OrthoVision is an automatic limb fracture interpretation and localization tool developed by B.S. in Computer Science students at West Visayas State University as part of their undergraduate thesis. The web application integrates a ResNet-18 classifier and a YOLOv8 detector to identify fractures and highlight their locations on X-ray images in a single workflow.

Our goal is to support clinicians and trainees with fast, consistent fracture assessment while maintaining a clear research pipeline from dataset curation, to model training, to web deployment.

Authors of OrthoVision

• Lord Patrick Raizen Togonon

  BSCS, West Visayas State University

• Co-author Name 2

  BSCS, West Visayas State University

• Co-author Name 3

  BSCS, West Visayas State University

Special Thanks To

• Thesis Adviser – for continuous guidance and feedback.
• TBA
• Orthopedic Experts – for domain knowledge and annotation support.
• Friends and family – for encouragement throughout the project.

Important References

• TBA
• TBA

Interested in Collaborating?

Want to help us improve OrthoVision and bring it closer to clinical-grade use? We’d be happy to collaborate on model improvements, dataset collection, or system integration.

Contact us at: