arXivDaily arXiv每日学术速递 周一至周五更新

科学与医疗

医学 AI

医学智能、临床 AI、医学影像、病理、诊断和医疗健康大模型。

2026-02-06 至 2026-02-06 共收录 6 信号源:cs.CV, cs.LG, q-bio, eess.IV, eess.SP

1. 病理影像 6 篇

2312.00992 2026-02-06 cs.LG 65%

Improving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders

利用混合专家积变分自编码器改进多模态神经影像数据的规范建模

Sayantan Kumar, Philip Payne, Aristeidis Sotiras

机构 * Department of Computer Science and Engineering, Washington University in St. Louis, USA(计算机科学与工程系,华盛顿大学圣路易斯分校) Institute for Informatics, Data Science and Biostatistics, Washington University in St.Louis, USA(信息学、数据科学与生物统计研究所,华盛顿大学圣路易斯分校) Department of Radiology, Washington University in St.Louis, USA(放射学系,华盛顿大学圣路易斯分校)

专题命中 病理影像 :pathology(abstract);biomedical(comments,journal_ref);分类 cs.LG

AI总结 本文提出利用混合专家积变分自编码器改进多模态神经影像数据的规范建模,以更准确地识别异常个体及异常脑区。

Comments IEEE Internattional Symposium in Biomedical Imaging 2024

Journal ref 2024 IEEE International Symposium on Biomedical Imaging (ISBI)

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2505.04672 2026-02-06 cs.CV q-bio.QM 60%

Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma

Histo-Miner:基于深度学习的H&E全切片图像皮肤鳞状细胞癌组织特征提取流程

Lucas Sancéré, Carina Lorenz, Doris Helbig, Oana-Diana Persa, Sonja Dengler, Alexander Kreuter, Martim Laimer, Roland Lang, Anne Fröhlich, Jennifer Landsberg, Johannes Brägelmann, Katarzyna Bozek

机构 * Faculty of Mathematics and Natural Sciences, University of Cologne(数学与自然科学学院,科隆大学) Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne(细胞应激反应与年龄相关疾病卓越集群(CECAD),科隆大学) Department for Dermatology, University Hospital Cologne(皮肤科部门,科隆大学医院) Department of Dermatology and Allergy, School of Medicine, Technical University of Munich(皮肤科与过敏科部门,医学院,慕尼黑技术大学) Department of Dermatology, Dortmund Hospital gGmbH, University Witten/Herdecke(皮肤科部门,多特蒙德医院gGmbH,乌尔姆/赫尔德克大学) Department of Dermatology, Venereology and Allergology, Helios St. Elisabeth Hospital Oberhausen, University Witten/Herdecke(皮肤科、性病科与过敏科部门,Helios圣埃利莎医院奥伯豪森,乌尔姆/赫尔德克大学) Department of Dermatology and Allergology, University Hospital of the Paracelsus Medical University Salzburg(皮肤科与过敏科部门,帕拉塞尔医学大学萨尔茨堡大学医院) Department of Dermatology and Allergology, University Hospital Bonn(皮肤科与过敏科部门,波恩大学医院) Medical Clinic III for Oncology, Hematology, Immune-Oncology and Rheumatology, University Hospital Bonn (UKB)(肿瘤科、血液科、免疫肿瘤科和风湿科第三医疗部门,波恩大学医院(UKB))

专题命中 病理影像 :pathology(abstract);分类 cs.CV、q-bio

AI总结 Histo-Miner通过深度学习提取皮肤鳞状细胞癌全切片图像的组织特征,用于预测免疫治疗反应。

Comments 37 pages including supplement, 5 core figures. Version 2: change sections order, add new supplementary sections, minor text updates. Version 3: Author addition and update of author contributions, increase font on 2 figures, minor text updates

Journal ref PLoS Comput. Biol., vol. 22, no. 1, p. e1013907, Jan. 2026

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2602.05397 2026-02-06 cs.CV 57%

Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing

通过相关性感知的条件特征编辑实现可解释的病理科特征可视化

Yuechen Yang, Junlin Guo, Ruining Deng, Junchao Zhu, Zhengyi Lu, Chongyu Qu, Yanfan Zhu, Xingyi Guo, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo

机构 * Vanderbilt University(范德比尔特大学) Weill Cornell Medicine(韦尔医学院) Vanderbilt University Medical Center(范德比尔特大学医学中心)

专题命中 病理影像 :pathology(abstract);分类 cs.CV

AI总结 本文提出了一种Manifold-Aware Diffusion框架,通过正则化解耦潜在空间中的特征轨迹,实现可控且生物合理的细胞核编辑,提升病理科特征的可解释性与图像生成质量。

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2602.00151 2026-02-06 cs.CV cs.AI 57%

Investigating the Impact of Histopathological Foundation Models on Regressive Prediction of Homologous Recombination Deficiency

探究病理基础模型对同源重组缺陷的回归预测影响

Alexander Blezinger, Wolfgang Nejdl, Ming Tang

机构 * Leibniz University Hannover(汉诺威莱布尼茨大学)

专题命中 病理影像 :pathology(abstract);分类 cs.CV

AI总结 本研究探讨了病理基础模型在预测同源重组缺陷评分中的影响,通过实验发现基于基础模型的模型在预测准确性方面优于基线,并提出了缓解数据不平衡的上采样策略。

Comments 9 pages, 7 figures and 5 tables

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2602.05250 2026-02-06 cs.CV 57%

Active Label Cleaning for Reliable Detection of Electron Dense Deposits in Transmission Electron Microscopy Images

主动标签清洗用于透射电子显微镜图像中电子致密沉积物的可靠检测

Jieyun Tan, Shuo Liu, Guibin Zhang, Ziqi Li, Jian Geng, Lei Zhang, Lei Cao

机构 * School of Biomedical Engineering(生物医学工程学院) Southern Medical University(南方医科大学) College of Letters and Science(文理学院) University of Wisconsin-Madison(威斯康星大学麦迪逊分校) School of Basic Medical Sciences(基础医学学院) Department of Nephrology(肾内科) Nanfang Hospital, Southern Medical University(南方医科大学南芳医院)

专题命中 病理影像 :medical AI(abstract);分类 cs.CV

AI总结 本文提出主动标签清洗方法,通过主动学习和专家重新标注,提升透射电子显微镜图像中电子致密沉积物检测的准确性和效率,降低标注成本。

Comments 10 pages, 6 figures

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2602.05717 2026-02-06 cs.AI 50%

Anchored Policy Optimization: Mitigating Exploration Collapse Via Support-Constrained Rectification

基于锚定策略优化:通过支持约束修正缓解探索崩溃

Tianyi Wang, Long Li, Hongcan Guo, Yibiao Chen, Yixia Li, Yong Wang, Yun Chen, Guanhua Chen

机构 * Beijing University of Posts and Telecommunications(北京邮电大学) Southern University of Science and Technology(南方科技大学) Alibaba Group(阿里巴巴集团) Shanghai University of Finance and Economics(上海财经大学)

专题命中 病理影像 :pathology(abstract)

AI总结 本文提出锚定策略优化方法,通过支持覆盖机制缓解强化学习中的探索崩溃问题,提升模型在准确性与多样性间的性能平衡。

Comments 17 pages, 6 figures

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