arXivDaily arXiv每日学术速递 周一至周五更新

视觉与机器人

多模态信息融合

面向图像、视频、多传感器和跨模态感知的信息融合,包括 Image Fusion、红外可见光、遥感、医学影像、LiDAR/雷达/相机和音视频融合。

2026-01-29 至 2026-01-29 共收录 1 信号源:cs.CV, eess.IV, eess.SP, cs.RO, cs.MM

1. 医学影像融合 1 篇

2508.03461 2026-01-29 eess.IV cs.CV 62%

Evaluating the Predictive Value of Preoperative MRI for Erectile Dysfunction Following Radical Prostatectomy

术前MRI对根治性前列腺切除术后勃起功能障碍预测价值的评估

Gideon N. L. Rouwendaal, Daniël Boeke, Inge L. Cox, Henk G. van der Poel, Margriet C. van Dijk-de Haan, Regina G. H. Beets-Tan, Thierry N. Boellaard, Wilson Silva

机构 * University of Amsterdam(阿姆斯特丹大学) Antoni van Leeuwenhoek-Netherlands Cancer Institute(安托尼·范·列文霍克-荷兰癌症研究所) Department of Urology(泌尿科部) AI Technology for Life(人工智能技术生命) Utrecht University(乌特勒支大学) GROW School for Oncology and Developmental Biology(GROW肿瘤学与发育生物学学院)

专题命中 医学影像融合 :multimodal fusion(abstract);分类 cs.CV、eess.IV

AI总结 本研究评估了术前MRI对根治性前列腺切除术后勃起功能障碍预测价值,发现MRI模型在某些方面略优于传统方法,但未超越临床特征。

Comments 13 pages, 5 figures, 2 tables. Accepted at PRedictive Intelligence in MEdicine workshop @ MICCAI 2025 (PRIME-MICCAI). This is the submitted manuscript with added link to github repo, funding acknowledgements and authors' names and affiliations. No further post submission improvements or corrections were integrated. Final version not published yet

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