AI RESEARCH
MedROI: Codec-Agnostic Region of Interest-Centric Compression for Medical Images
arXiv CS.CV
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ArXi:2604.04511v1 Announce Type: new Medical imaging archives are growing rapidly in both size and resolution, making efficient compression increasingly important for storage and data transfer. Most existing codecs compress full images/volumes(including non-diagnostic background) or apply differential ROI coding that still preserves background bits. We propose MedROI, a codec-agnostic, plug-and-play ROI-centric framework that discards background voxels prior to compression.