Competition performance metric

Biomarker1 paper2 findings

  • In silico1

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Thin-slab maximum-intensity projection

downin silico1

1 study
  1. thin-slab maximum-intensity projection decreases competition performance metric in silico (0.5965 CPM vs 0.6498).

    “thin-slab projection (0.5965) was worse than a plain 2D slice”

    In silico

    Inter-Slice Representation Outweighs Bounding-Box Supervision Extent in Lightweight 2.5D Pulmonary Nodule Detection: A Whole-Volume Benchmark on LUNA16 · Diagnostics (Basel, Switzerland) · 19 Sep 2026

Adjacent-slice 2.5D input

upin silico1

1 study
  1. adjacent-slice 2.5D input increases competition performance metric in silico (+0.1297 CPM (0.7795 vs 0.6498)).

    “Adjacent-slice input reached a competition performance metric (CPM) of 0.7795 (95% CI 0.7517-0.8005) against 0.6498 for the 2D baseline”

    In silico

    Inter-Slice Representation Outweighs Bounding-Box Supervision Extent in Lightweight 2.5D Pulmonary Nodule Detection: A Whole-Volume Benchmark on LUNA16 · Diagnostics (Basel, Switzerland) · 19 Sep 2026

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