Deep Learning-based End-to-end Diagnosis System for Avascular Necrosis of Femoral Head
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
Comments 10 pages, 5 figures
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、eess.IV
Comments 10 pages, 5 figures
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
Comments Submitted to ISBI 2021
专题命中 诊断辅助 :diagnosis(title);medical image(abstract);分类 cs.CV、cs.LG、eess.IV
Comments KDAH-CIKM-2020
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
Comments We are submitting the article in the journal and waiting for the review result, so we want to temporarily delete the article. When the article is officially accepted, it will be resubmitted
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
Journal ref J. Converg. Inf. Technol, 8(13), p.13. 2013
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
Comments 6 tables, 4 figures
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
专题命中 诊断辅助 :diagnosis(title,abstract);medical image(abstract)
Comments 5 pages, 7 figures, 1 table, 2020 IEEE International Conference on Smart Internet of Things (SmartIoT)
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
Comments arXiv admin note: text overlap with arXiv:2003.09871 by other authors
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
Comments 20 pages, 15 figures
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
Comments 10 pages, 12 figures. in IEEE Transactions on Industrial Electronics, 2019 (early access)
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.LG、eess.IV、eess.SP
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
Comments KDDBHI Workshop 2019, IEEE BigData Conference
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
Comments ICCV VRMI workshop Oral. arXiv admin note: text overlap with arXiv:1911.00962
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
Comments MICCAI 2019 (early accept), with supplementary materials
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
Comments In press, 2019
Journal ref Deep Biometrics, Springer Book, 2019
专题命中 诊断辅助 :diagnosis(title);MRI(abstract);分类 cs.CV、cs.LG、eess.IV
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
专题命中 诊断辅助 :diagnosis(title);pathology(abstract);分类 cs.CV、cs.LG、eess.IV
Journal ref SPIE Real-Time Image Processing and Deep Learning, Apr 2019, Baltimore, Maryland, United States
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
Comments Preprint version before submission for publication. complete version published in proc. 15th International Conference on Frontiers of Information Technology (FIT 2017), December 18-20, 2017, Islamabad, Pakistan. http://ieeexplore.ieee.org/document/8261064/
Journal ref 15th IEEE International Conference on Frontiers of Information Technology (FIT 2017), December 18-20, 2017, Islamabad, Pakistan
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG、eess.IV
Comments Submitted for review to Expert Systems With Applications
专题命中 诊断辅助 :diagnosis(title);medical image(abstract);MRI(abstract)
基因对齐的患者表示改善血液学诊断
机构 * Institute of AI for Health, Helmholtz Munich, Germany International School of Medicine, Istanbul Medipol University, T\"urkiye Munich Leukemia Laboratory, Germany Department of Medicine III, Ludwig-Maximilian-University Hospital, Germany Department of Physics, University of Munich, Germany Munich Center for Machine Learning (MCML), Germany DKTK, German Cancer Consortium, Germany
专题命中 诊断辅助 :diagnosis(title,abstract);分类 cs.CV、cs.LG;medical image(comments)
AI总结 提出一种两阶段框架,通过自监督视觉预训练和监督对比学习对齐白细胞图像与染色体畸变及体细胞突变,提升血液学诊断性能。
Comments Accepted for publication at the 29th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2026