Artificial intelligence for ultra-low radiation x-ray imaging

  • Zhou, Li (CI)
  • DAVIDSON, Rob (CoI)
  • Tan, Qi (CoI)

Project: Research

Project Details

Description

This project aims to further develop an artificial intelligence for ultra-low radiation x-ray imaging (referred as "the x-ray AI solution" in the following) to get the product to TRL 6. The x-ray AI solution is designed to improve the quality of x-ray images produced at ultra-low radiation exposures. It aims to reduce patient radiation exposures by 60% or more, which is equivalent to minimum 60% reduction of cancer risks due to ionising radiation exposures. This will save more than 3000 Australians dying from x-ray imaging induced cancers every year or 30,000 Australian in the next decade.
StatusFinished
Effective start/end date18/06/2111/10/23

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.