Pith Number

pith:WKLKVHW5

pith:2026:WKLKVHW5YRQDIZD5AOEC753E77

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Backbone-Conditional Behavior of Modality Gating in Multi-Modal Prostate MRI Segmentation: A 5-Fold Cross-Validation and Gate Mechanism Analysis

Aijing Luo, Kewen Chen, Luo Lei, Shanhu Yao, Wenzhao Xie, Yongbo Shu, Zirui Xin

Modality-isolated gated fusion with dropout training makes multi-modal prostate MRI segmentation more robust to missing or degraded diffusion sequences.

arxiv:2604.10702 v4 · 2026-04-12 · cs.CV · cs.AI

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3 Author claim open · sign in to claim

4 Citations open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

MIGF improved ideal-scenario Ranking Score for UNet, nnUNet, and Mamba by 2.8%, 4.6%, and 13.4%; the best model (MIGFNet-nnUNet) achieved 0.7304 +/- 0.056. Robustness gains arise from strict modality isolation and dropout-driven compensation rather than adaptive per-sample quality routing.

C2weakest assumption

That the observed gains are caused by modality isolation plus dropout rather than other unablated factors such as backbone-specific tuning or the particular choice of seven missing-modality scenarios; the claim that the gate converged to a stable modality prior is presented without showing it generalizes beyond the tested folds and seeds.

C3one line summary

MIGF improves multi-modal prostate MRI segmentation robustness via modality-isolated streams and dropout training, yielding ranking score gains of 2.8-13.4% across backbones and better tolerance to degraded diffusion sequences on PI-CAI and Prostate158.

Cited by

1 paper in Pith

A multi-architecture study of specificity refinement and false-positive mechanism analysis in prostate MRI

Receipt and verification

First computed	2026-06-25T01:17:53.050862Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

b296aa9eddc46034647d03882ff764ffe7fed7c3de6e4a792f1bc6fb4540518a

Aliases

arxiv: 2604.10702 · arxiv_version: 2604.10702v4 · doi: 10.48550/arxiv.2604.10702 · pith_short_12: WKLKVHW5YRQD · pith_short_16: WKLKVHW5YRQDIZD5 · pith_short_8: WKLKVHW5

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/WKLKVHW5YRQDIZD5AOEC753E77 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: b296aa9eddc46034647d03882ff764ffe7fed7c3de6e4a792f1bc6fb4540518a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "960a788c768f05b235edb7c48ef0c936dad304220b1256cedc3c2d5c6ce9b2bc",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-12T15:54:21Z",
    "title_canon_sha256": "08e3021ca25d621e0b00e0e90fbcf9858e93c6f5bb225a3bdf0dc092af926015"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.10702",
    "kind": "arxiv",
    "version": 4
  }
}