Project Details
Project Description
This project aims to develop innovative computer vision and machine learning techniques for automated, generalised, and flexible bone and joint
measurements, which are essential for musculoskeletal disease diagnosis and surgical planning. Traditionally, these measurements are manual, error-prone, and time-consuming, especially with the increasing use of 3D imaging technologies such as computed tomography. The project seeks to revolutionise current practices by automating and standardizing bone and joint measurements.
measurements, which are essential for musculoskeletal disease diagnosis and surgical planning. Traditionally, these measurements are manual, error-prone, and time-consuming, especially with the increasing use of 3D imaging technologies such as computed tomography. The project seeks to revolutionise current practices by automating and standardizing bone and joint measurements.
| Short title | National Industry PhD Round 4 |
|---|---|
| Acronym | NIP R4 |
| Status | Active |
| Effective start/end date | 22/05/25 → 29/04/29 |