AI RESEARCH
TriALS: Triphasic-Aided Liver Lesion Segmentation Benchmark in Non-Contrast CT
arXiv CS.CV
•
ArXi:2605.16572v1 Announce Type: new Automated segmentation of liver lesions on non-contrast computed tomography (NCCT) is clinically important but fundamentally challenging, particularly in low-resource settings across Africa and Asia where contrast agents are frequently unavailable. Progress has been limited by the absence of annotated NCCT benchmarks. Here we describe the TriALS challenge for automated liver lesion segmentation under contrast-limited conditions, ed by a multi-centre dataset of 150 cases with four-phase CT acquisitions (600 volumes) from Egyptian and Chinese institutions.