English(EN) Reinforcing intra-operative tumour localisation with weak supervision from pre-operative appearances

新方法使用术前扫描引导术中肿瘤定位

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-23 04:00

研究人员开发了一种新颖的方法，利用术前扫描的弱监督来改进术中肿瘤定位。该方法解决了手术导航中深度学习的标记数据有限的挑战，特别是对于计算机断层扫描（CT）影像上的肝细胞癌（HCC）。通过将术前磁共振（MR）影像中的肿瘤外观知识转移到术中CT，该系统指导强化学习代理进行更准确的肿瘤识别，而无需配对的MR-CT训练数据。 AI

影响这项研究通过增强手术过程中的肿瘤检测能力，有望提高手术精度和治疗效果。

排序理由该集群包含一篇提交至arXiv的研究论文，详细介绍了一种新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Sidhart Sami, Ali Sharjeel, Sri Atluri, Miao Zhao, Caroline Roney, Eirini Marouli, Shaheer U. Saeed · 2026-10-23 04:00

Reinforcing intra-operative tumour localisation with weak supervision from pre-operative appearances

arXiv:2610.31253v1 Announce Type: new Abstract: Limited tumour visibility on intra-operative images complicates surgical navigation, including liver hepatocellular carcinoma (HCC) targeting on computed tomography (CT) imaging. This makes labelled datasets difficult to curate for …

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Reinforcing intra-operative tumour localisation with weak supervision from pre-operative appearances

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