AI RESEARCH
Towards Clinical Practice in CT-Based Pulmonary Disease Screening: An Efficient and Reliable Framework
arXiv CS.CV
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ArXi:2412.01525v4 Announce Type: replace-cross Deep learning models for pulmonary disease screening from Computed Tomography (CT) scans promise to alleviate the immense workload on radiologists. Still, their high computational cost, stemming from processing entire 3D volumes, remains a major barrier to widespread clinical adoption. Current sub-sampling techniques often compromise diagnostic integrity by