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。

2025-11-27 至 2025-11-27 共收录 9 信号源:cs.CV, cs.LG, q-bio, eess.IV, eess.SP

1. 医学影像 9 篇

2505.06370 2025-11-27 eess.IV cs.CV 84%

LMLCC-Net: A Semi-Supervised Deep Learning Model for Lung Nodule Malignancy Prediction from CT Scans using a Novel Hounsfield Unit-Based Intensity Filtering

LMLCC-Net:一种用于从CT扫描中预测肺结节恶性程度的半监督深度学习模型,采用新颖的亨斯菲尔德单位基于强度过滤

Tasnia Binte Mamun, Adhora Madhuri, Nusaiba Sobir, Taufiq Hasan

机构 * mHealth Lab, Department of Biomedical Engineering, Bangladesh University of Engineering and Technology(孟加拉国工程与技术大学生物医学工程系mHealth实验室)

专题命中 医学影像 :CT(title,abstract);diagnosis(abstract);分类 cs.CV、eess.IV

AI总结 LMLCC-Net通过结合亨斯菲尔德单位强度过滤与半监督学习,提升肺结节恶性预测的准确性和效率。

Comments 12 pages, 9 figures, 7 tables

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2511.21673 2025-11-27 cs.CV 83%

Revolutionizing Glioma Segmentation & Grading Using 3D MRI - Guided Hybrid Deep Learning Models

用3D MRI引导的混合深度学习模型革新胶质瘤分割与分级

Pandiyaraju V, Sreya Mynampati, Abishek Karthik, Poovarasan L, D. Saraswathi

机构 * Department of Computer Science and Engineering, School of Computer Science and Engineering(计算机科学与工程系,计算机科学与工程学院) Vellore Institute of Technology, Chennai, India(维洛雷技术学院,钦奈,印度) School of Advanced Science, Vellore Institute of Technology, Chennai, India(先进科学学院,维洛雷技术学院,钦奈,印度) Centre for Human Movement Analytics, Vellore Institute of Technology, Chennai, India(人类运动分析中心,维洛雷技术学院,钦奈,印度)

专题命中 医学影像 :MRI(title,abstract);diagnosis(abstract);分类 cs.CV

AI总结 本研究提出一种结合U-Net分割与DenseNet-VGG分类的混合深度学习模型,通过多头注意力机制提升胶质瘤分割与分级的准确率和可解释性。

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2410.07908 2025-11-27 eess.IV cs.AI cs.CV 81%

ONCOPILOT: A Promptable CT Foundation Model For Solid Tumor Evaluation

ONCOPILOT:一种可提示的CT基础模型用于实体肿瘤评估

Léo Machado, Hélène Philippe, Élodie Ferreres, Julien Khlaut, Julie Dupuis, Korentin Le Floch, Denis Habip Gatenyo, Pascal Roux, Jules Grégory, Maxime Ronot, Corentin Dancette, Tom Boeken, Daniel Tordjman, Pierre Manceron, Paul Hérent

机构 * Raidium, Paris Biotech Santé(Raidium,巴黎生物医疗健康) AP-HP. Nord, Department of Radiology, FHU MOSAIC, Beaujon Hospital(AP-HP. Nord,放射科,FHU MOSAIC,贝琼医院) Université Paris Cité(巴黎城市大学) Université Paris Cité, AP-HP, Hôpital Européen Georges Pompidou, Department of Vascular and Oncological Interventional Radiology(巴黎城市大学,AP-HP,欧文·庞皮杜医院,血管和肿瘤介入放射科) Department of Radiology, Hôpital Cochin, AP-HP(放射科,克里克医院,AP-HP) Centre d’Imagerie du Nord(北影像中心)

专题命中 医学影像 :CT(title,abstract);分类 cs.CV、eess.IV

AI总结 ONCOPILOT是一种基于CT的可提示基础模型,通过交互式分割提升肿瘤评估精度,实现放射科医生级别的RECIST测量和体积生物标志物分析。

Journal ref npj Precis. Onc. 9, 121 (2025)

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2309.04312 2025-11-27 cs.CV 79%

AMLP: Adjustable Masking Lesion Patches for Self-Supervised Medical Image Segmentation

AMLP:可调掩码病变块用于自监督医学图像分割

Xiangtao Wang, Ruizhi Wang, Thomas Lukasiewicz, Zhenghua Xu

机构 * State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, China(河北工业大学可靠性与智能电气设备国家重点实验室,健康科学与生物医学工程学院,中国天津) Department of Computer Science, University of Oxford, Oxford, United Kingdom(英国牛津大学计算机科学系) institute of Logic and Computation, Vienna University of Technology, Vienna, Austria(奥地利技术大学逻辑与计算研究所)

专题命中 医学影像 :medical image(title,abstract);分类 cs.CV

AI总结 AMLP通过可调掩码策略和改进的损失函数,提升医学图像分割的自监督建模性能。

Comments © 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

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2511.20979 2025-11-27 physics.ins-det 78%

A Hands-On Workshop for Constructing a Low-Field MRI System in Three Days

三日动手工作坊构建低场MRI系统

Ivan Etoku Oiye, Ajay Sharma, Zinia Mohanta, Dinil Sasi Sankaralayam, Yuto Uchida, Teni Akinwale, Kexin Wang, Zechen Xu, Yifan Shuai, Vu Dinh, Sun Yuanqi, Aruna Singh, Dillip K. Senapati, Luke Ikard, Sandeep K. Ganji, Joseph Reilly, Michael Mcmahon, Hanzhang Lu, Peter Barker, Jennifer Morrison, Steven M. Ross, Zaver Bhujwalla, Sairam Geethanath

专题命中 医学影像 :MRI(title,abstract)

AI总结 本研究通过三日工作坊利用开源技术构建了0.27T低场MRI系统,实现磁体、射频线圈和梯度线圈的组装,并展示了其在教育和预临床研究中的应用价值。

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2307.13693 2025-11-27 cs.CL 78%

Evaluating Large Language Models for Radiology Natural Language Processing

评估大型语言模型用于放射学自然语言处理

Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Junhao Chen, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu

机构 * School of Biomedical Engineering, ShanghaiTech University(上海科技大学生物医学工程学院) Shanghai Clinical Research and Trial Center(上海临床研究与试验中心) School of Automation, Northwestern Polytechnical University(西北工业大学自动化学院) Institute of Medical Research, Northwestern Polytechnical University(西北工业大学医学研究所) School of Life Science and Technology, University of Electronic Science and Technology of China(电子科技大学生命科学与技术学院) Glasgow College, University of Electronic Science and Technology of China(电子科技大学格拉斯哥学院) Department of Computer Science and Engineering, University of Texas at Arlington(德克萨斯理工大学计算机科学与工程系) Lingang Laboratory, Shanghai(上海灵冈实验室)

专题命中 医学影像 :radiology(title,abstract)

AI总结 本研究评估32个大型语言模型在解读放射学报告中的能力,以改进放射学自然语言处理的应用

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2511.20793 2025-11-27 eess.IV cs.AI cs.CV 73%

Adversarial Multi-Task Learning for Liver Tumor Segmentation, Dynamic Enhancement Regression, and Classification

对抗多任务学习用于肝肿瘤分割、动态增强回归和分类

Xiaojiao Xiao, Qinmin Vivian Hu, Tae Hyun Kim, Guanghui Wang

机构 * Department of Computer Science, Toronto Metropolitan University(计算机科学系,多伦多 Metropolitan 大学) Department of Computer Science, Hanyang University(计算机科学系,翰阳大学)

专题命中 医学影像 :MRI(abstract);diagnosis(abstract);分类 cs.CV、eess.IV

AI总结 MTI-Net通过多任务交互对抗学习框架,同时实现肝肿瘤分割、动态增强回归和分类,提升任务间协同性能。

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2511.21114 2025-11-27 cs.CV cs.AI 57%

Deformation-aware Temporal Generation for Early Prediction of Alzheimers Disease

考虑变形的时序生成用于阿尔茨海默病早期预测

Xin Honga, Jie Lin, Minghui Wang

机构 * the College of Computer Science and Technology,Huaqiao University(华侨大学计算机科学与技术学院) the Key Laboratory of Computer Vision and Machine Learning in Fujian Province(福建省计算机视觉与机器学习重点实验室)

专题命中 医学影像 :MRI(abstract);分类 cs.CV

AI总结 本文提出DATGN网络,通过考虑变形的时序生成技术,实现对阿尔茨海默病早期预测的准确识别。

Comments 29 pages,6figures,one column

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2511.21273 2025-11-27 eess.SY cs.SY 50%

Respiratory Motion Compensation and Haptic Feedback for X-ray-Guided Teleoperated Robotic Needle Insertion

呼吸运动补偿与触觉反馈用于X射线引导的远程机器人针插入

Ana Cordon-Avila, Mostafa Selim, Momen Abayazid

专题命中 医学影像 :diagnosis(abstract)

AI总结 本文提出通过机器人补偿呼吸运动并结合触觉反馈,实现无辐射的远程机器人针插入,提高手术精度并减少辐射暴露。

Journal ref A. Cordon-Avila, M. Selim and M. Abayazid, "Respiratory Motion Compensation and Haptic Feedback for X-Ray-Guided Teleoperated Robotic Needle Insertion," 2024 10th IEEE RAS/EMBS BioRob, Heidelberg, Germany, 2024, pp. 1352-1357

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