Prototypical Clustering Networks for Dermatological Disease Diagnosis
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG
科学与医疗
医学智能、临床 AI、医学影像、病理、诊断和医疗健康大模型。
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG
Comments 18 pages, 7 figures
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG
Comments Accepted for publication at IEEE EMBC (40th International Engineering in Medicine and Biology Conference)
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、eess.IV
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.LG、eess.SP
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.LG、eess.SP
Comments 14 pages, 12 figures, 10 tables, submitted to IEEE Transactions on Cybernetics
解决自闭症诊断与治疗的机器学习技术系统综述:挑战与机遇
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.LG
AI总结 本系统综述分析2017-2023年55项研究,探究ML在ASD诊断治疗的应用,指出监督学习为主、深度学习作用扩大,需整合多模态数据并加强跨学科合作。
Comments 17 pages, 8 figures
Journal ref A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunitie. Heliyon 12(1), e44359, 2026
AI赋能的皮肤病诊断:从可解释模型到临床实施 一个全面的框架,用于可访问且可信的皮肤疾病检测
机构 * Department of Business Analytics/Data Science Engineering University of New Haven(商业分析/数据科学工程系 罗德岛大学) ; Department of Healthcare University of New Haven(医疗健康系 罗德岛大学)
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV
AI总结 本研究提出了一种结合家族史数据和临床影像的AI框架,旨在提升皮肤病诊断的准确性与临床应用的可行性。
Comments 9 pages, 5 figures, 1 table. Code available at https://github.com/colabre2020/Enhancing-Skin-Disease-Diagnosis
机构 * Unit of Artificial Intelligence and Computer Systems, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy(人工智能与计算机系统单位,工程系,罗马生物医学大学) ; Eustema S.p.A., Research and Development Centre, Naples, Italy(Eustema公司,研发中心,意大利那不勒斯) ; Department of Radiation Sciences, Biomedical Engineering, Umeå University, Umeå, Sweden(辐射科学系,生物医学工程,乌梅大学)
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.LG;biomedical(comments)
Comments Proceedings of the Workshop on Artificial Intelligence for Biomedical Data (AIBio 2025), 28th European Conference on Artificial Intelligence 2025, Springer CCIS
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.LG
Comments Peer-reviewed and published in Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence (ACAI 2020). 7 pages, 5 figures
Journal ref Y. Li. Early Diagnosis of Alzheimer's Disease Using Hybrid Word Embedding and Linguistic Characteristics. Proc. In 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence (ACAI 2020). ACM. Article 65. pp 1-7
机构 * Resilience of Complex Systems, Laboratoie Genie Industriel, CentraleSup\' e lec, Universit\' e Paris-Saclay, 91190, Gif-sur-Yvette, France
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.LG
Comments Preprint accepted by ICCAD 2025 at Barcelona
Journal ref 2025 International Conference on Control, Automation and Diagnosis (ICCAD)
机构 * Intelligent Machine Lab, Information Technology University(智能机器实验室,信息科技大学) ; Department of Hematology, Chughtai Lab(血液科,Chughtai实验室) ; Center for Research in Computer Vision, University of Central Florida(计算机视觉研究中心,佛罗里达大学)
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV;medical image(comments)
Comments Accepted for Publication in Medical Image Analysis Journal
机构 * IBM Research -- Tokyo(IBM东京研究实验室) ; IBM Semiconductors(IBM半导体公司)
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.LG
Comments Published as K. Miyaguchi, M. Joko, R. Sheraw and T. Idé, "Sequence-Aware Inline Measurement Attribution for Good-Bad Wafer Diagnosis : DM: Big Data Management and Machine Learning," 2025 36th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC), Albany, NY, USA, 2025, pp. 1-6, doi: 10.1109/ASMC64512.2025.11010308
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.LG
Comments Extended version of "Multi-output Classification for Compound Fault Diagnosis in Motor under Partially Labeled Target Domain" Will not be published in any conferences or journels
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV;biomedical(comments)
Comments Paper accepted at International Symposium on Biomedical Imaging (ISBI 2025)
专题命中 诊断辅助 :diagnosis(title);medical image(abstract,comments);分类 cs.CV
Comments Accepted at MICCAI 2024, the 27th International Conference on Medical Image Computing and Computer Assisted Intervention
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.LG
Comments Leverage Kolmogorov-Arnold Networks (KANs) for cognitive diagnosis, enhancing the model interpretability. The diagnosis performance is also improved
专题命中 诊断辅助 :diagnosis(title,abstract);分类 eess.SP
Comments Code is available at: https://github.com/Western-OC2-Lab/Vibration-Based-Fault-Diagnosis-with-Low-Delay . in IEEE Transactions on Instrumentation and Measurement, 2022
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.LG;biomedical(journal_ref)
Journal ref IEEE Journal of Biomedical Health and Informatics, 2022
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV;medical image(comments)
Comments Provisionally Accepted for Medical Image Computing and Computer Assisted Interventions 2022 (MICCAI 2022). arXiv admin note: text overlap with arXiv:2010.04483
专题命中 诊断辅助 :diagnosis(title,abstract);分类 eess.IV;radiology(journal_ref)
Journal ref Radiology Case Reports, Volume 17, Issue 5, 2022, Pages 1750-1754, ISSN 1930-0433
专题命中 诊断辅助 :diagnosis(title,abstract);分类 eess.SP;biomedical(journal_ref)
Journal ref IEEE Transactions on Biomedical Engineering, vol. 68, no. 2, pp. 515-525, 2021
专题命中 诊断辅助 :diagnosis(title,abstract);分类 eess.SP;biomedical(journal_ref)
Comments 7 pages, 3 figures, 4 tables
Journal ref Drafted at Elsevier Biomedical Signal Processing and Control, 2020
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV;biomedical(journal_ref)
Comments 22 pages, 8 figures, and 4 tables
Journal ref IEEE Journal of Biomedical and Health Informatics, 2020, 26(6): 1664-1676
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV;biomedical(journal_ref)
Comments 9 pages, 5 figures, and 2 tables
Journal ref IEEE Transactions on Biomedical Engineering, 2019, 66(9): 2447-2456
专题命中 诊断辅助 :diagnosis(title,abstract);分类 eess.SP
Comments Fault diagnosis; Vibration signal; Domain adaptation; Transferable features
基于fMRI的疾病诊断的可解释性信息分解脑图学习
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.LG、q-bio
AI总结 该研究针对fMRI疾病诊断中传统方法的不足,提出可解释图学习框架IID-GCN,分解rs-fMRI交互为三类信息图,整合后在三个数据集上捕捉到更优诊断信息,揭示脑疾病对功能信息组织的重塑作用。
Comments 10 pages, 7 figures
基于皮层相似性网络的概率不变随机游走学习用于阿尔茨海默病和路易体痴呆诊断
机构 * Department of Computer Science and Engineering, University of Texas at Arlington, United States(德克萨斯理工大学计算机科学与工程系) ; School of Computing, University of Georgia, United States(佐治亚大学计算机学院) ; Department of Psychiatry, University of Cambridge, United Kingdom(剑桥大学精神病学系) ; Sheffield Institute for Translational Neuroscience, University of Sheffield, United Kingdom(谢菲尔德大学转化神经科学研究所)
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、q-bio
AI总结 本文提出基于皮层相似性网络的概率不变随机游走学习方法,用于AD和LBD的诊断,通过保留排列不变性提升模型鲁棒性。
机构 * Hospital Universitario Virgen Macarena Seville, Spain(塞维利亚大学医院维珍玛卡伦娜医院) ; Dpt. Teoría de la Señal y Comunicaciones Escuela Técnica Superior de Ingeniería Universidad de Sevilla, Seville, Spain(塞维利亚大学电信与通信系) ; Hospitales Quironsalud Infanta Luisa y Sagrado Corazón Seville, Spain(quironsalud医院)
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、q-bio
Comments Manuscript word count: 3000, Number of figures: 2, Number of tables: 3
机构 * Inflammatix Inc.(Inflammatix公司)
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.LG、q-bio
Comments 16 pages, 6 figures
Journal ref Proceedings of Machine Learning Research, Vol. 259: Proceedings of the 4th Machine Learning for Health Symposium (ML4H), 2025, pp. 154-170