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The ConLymphNet deep learning architecture segments abdominal lymph nodes on CT scans with accuracy comparable to experienced radiologists but significantly faster, and its use as an assistive tool improves radiologist detection rates and segmentation accuracy. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

ConLymphNet: A Generalizable Region-Constrained Deep Learning Architecture for Precise Abdominal Lymph Node Segmentation Across Cancer Types

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