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English(EN) A 3D foundation model unifying CT interpretation and segmentation

HoloCT:新型 3D 基础模型统一 CT 影像解读和分割

研究人员开发了 HoloCT,这是一种新颖的 3D 基础模型,可统一计算断层扫描 (CT) 的解读和分割任务。通过联合建模全体积上下文和细粒度解剖细节,HoloCT 提供 3D 掩码作为其解读的证据。该模型在 HoloDATA 上进行了训练,这是一个包含超过 195,000 张 CT 扫描的大型数据集,并在多中心验证研究中,在包括病灶分割和报告生成在内的各种任务上表现出卓越的性能,优于专家模型和其他基础模型。 AI

影响 该模型有望显著提高临床环境中 CT 扫描分析的准确性和效率。

排序理由 该条目描述了一篇关于用于医学影像分析的新型基础模型的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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HoloCT:新型 3D 基础模型统一 CT 影像解读和分割

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该条目描述了一篇关于用于医学影像分析的新型基础模型的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yulu Xie, Zilong Li, Shen Xu, Yifan Bai, Liuhong Shi, Jiao Chen, Xianglei Kong, Wenchao Zhu, Na Shen, Xianghua Ye, Yang Yan, Jiaju Zheng, Yunsong Peng, Yanzhou Su, Chaohui Yu, Hao Luo, Fan Wang ·

    统一CT解释和分割的3D基础模型

    arXiv:2611.06471v1 Announce Type: new Abstract: Radiologists interpret computed tomography (CT) scans by jointly determining what a finding represents and where it lies in three-dimensional (3D) anatomy. However, CT models have treated CT interpretation and 3D segmentation as sep…