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An Efficient Anchor-free Universal Lesion Detection in CT-scans
Existing universal lesion detection (ULD) methods utilize compute-intensive anchor-based architectures which rely on predefined anchor boxes, resulting in unsatisfactory detection performance, especially in small and mid-sized lesions.
Ranked #6 on
Medical Object Detection
on DeepLesion
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection
In this paper, we exploit the domain information present in computed tomography (CT) scans and propose a robust universal lesion detection (ULD) network that can detect lesions across all organs of the body by training on a single dataset, DeepLesion.
Ranked #2 on
Medical Object Detection
on DeepLesion
