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New 3D Detector CT-3GDINO Enhances Organ Localization in Abdominal CT Scans

By PulseAugur Editorial · [2 sources] ·

Researchers have developed CT-3GDINO, a novel 3D object detection model designed for organ localization in abdominal CT scans. This lightweight model adapts a Grounding-DINO-style architecture, utilizing frozen pseudo-text class tokens instead of a traditional text encoder. CT-3GDINO integrates a Swin3D backbone, bidirectional feature enhancement, and a cross-modality decoder to predict bounding boxes for organs like the liver, spleen, and kidneys. Evaluated on 193 CT volumes, the model achieved a competitive mAP score, demonstrating strong performance for coarse localization while identifying areas for improvement in precise box alignment. AI

IMPACT This research introduces a new baseline for 3D organ localization in medical imaging, potentially improving downstream analysis in trauma care.

RANK_REASON The cluster contains a research paper detailing a new model and its evaluation.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New 3D Detector CT-3GDINO Enhances Organ Localization in Abdominal CT Scans

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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Siqi Chen, Han Gong, Keyi Hou, Jingxuan Yang, Sheethal Bhat, Andreas Maier ·

    Pseudo-Text-Conditioned 3D Grounding DINO for Organ Localization in Abdominal CT

    arXiv:2606.27084v1 Announce Type: new Abstract: Reliable organ localization in abdominal CT can provide spatial priors for downstream trauma analysis. We propose CT-3GDINO, a lightweight 3D detector that adapts a Grounding-DINO-style query-based architecture to fixed organ locali…

  2. arXiv cs.CV TIER_1 English(EN) · Andreas Maier ·

    Pseudo-Text-Conditioned 3D Grounding DINO for Organ Localization in Abdominal CT

    Reliable organ localization in abdominal CT can provide spatial priors for downstream trauma analysis. We propose CT-3GDINO, a lightweight 3D detector that adapts a Grounding-DINO-style query-based architecture to fixed organ localization using frozen pseudo-text class tokens ins…

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