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检索条件"机构=Data Analysis and Machine Learning"
200 条 记 录,以下是71-80 订阅
排序:
MSI-UNet: A Flexible UNet-Based Multi-Scale Interactive Framework for 3D Gastric Tumor Segmentation on CT Scans
MSI-UNet: A Flexible UNet-Based Multi-Scale Interactive Fram...
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IEEE International Symposium on Biomedical Imaging
作者: Heyun Chen Zifan Chen Jie Zhao Haoshen Li Jiazheng Li Yiting Liu Mingze Yuan Peng Bao Xinyu Nan Bin Dong Lei Tang Li Zhang Center for Data Science Peking University China National Engineering Laboratory for Big Data Analysis and Applications Peking University China Peking University Changsha Institute for Computing and Digital Economy China Peking University Cancer Hospital&Institute China Beijing International Center for Mathematical Research Peking University China Center for Machine Learning Research Peking University China
Accurate segmentation of gastric tumors is critical yet presents a formidable challenge in medical imaging, where conventional UNet-based frameworks, despite their prevalence, falter on intricate tumor samples due to ... 详细信息
来源: 评论
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement
arXiv
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arXiv 2023年
作者: Koehler, Gregor Wald, Tassilo Ulrich, Constantin Zimmerer, David Jaeger, Paul F. Franke, Jörg K.H. Kohl, Simon Isensee, Fabian Maier-Hein, Klaus H. Heidelberg Division of Medical Image Computing Germany Helmholtz Information and Data Science School for Health Karlsruhe Heidelberg Germany Helmholtz Imaging DKFZ Germany NCT Heidelberg a partnership between DKFZ University Medical Center Heidelberg Germany Interactive Machine Learning Group DKFZ Applied Computer Vision Lab DKFZ Machine Learning Lab University of Freiburg Freiburg Germany London United Kingdom Pattern Analysis and Learning Group Heidelberg University Hospital Heidelberg Germany
Despite the remarkable success of deep learning systems over the last decade, a key difference still remains between neural network and human decision-making: As humans, we can not only form a decision on the spot, bu... 详细信息
来源: 评论
Predicting gastric cancer response to anti-HER2 therapy or anti-HER2 combined immunotherapy based on multimodal data
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Signal Transduction and Targeted Therapy 2024年 第9期9卷 4137-4148页
作者: Zifan Chen Yang Chen Yu Sun Lei Tang Li Zhang Yajie Hu Meng He Zhiwei Li Siyuan Cheng Jiajia Yuan Zhenghang Wang Yakun Wang Jie Zhao Jifang Gong Liying Zhao Baoshan Cao Guoxin Li Xiaotian Zhang Bin Dong Lin Shen Center for Data Science Peking UniversityBeijingChina Department of Gastrointestinal Oncology Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education)Peking University Cancer Hospital and InstituteBeijingChina Department of Pathology Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education)Peking University Cancer Hospital and InstituteBeijingChina Department of Radiology Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education)Peking University Cancer Hospital and InstituteBeijingChina National Biomedical Imaging Center Peking UniversityBeijingChina Department of General Surgery Nanfang HospitalSouthern Medical UniversityGuangzhouChina Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor GuangzhouChina Department of Medical Oncology and Radiation Sickness Peking University Third HospitalBeijingChina National Engineering Laboratory for Big Data Analysis and Applications Peking UniversityBeijingChina Beijing International Center for Mathematical Research(BICMR) Peking UniversityBeijingChina Center for Machine Learning Research Peking UniversityBeijingChina
The sole use of single modality data often fails to capture the complex heterogeneity among patients,including the variability in resistance to anti-HER2 therapy and outcomes of combined treatment regimens,for the tre... 详细信息
来源: 评论
Overview of Modern Forecasting Methods and Models  16
Overview of Modern Forecasting Methods and Models
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16th International Conference Management of Large-Scale System Development, MLSD 2023
作者: Ivanyuk, Vera Tsvirkun, Anatoliy Sunchalina, Anna Goroshnikova, Tatiana Sunchalin, Andrey Zholobova, Galina Financial University under the Government of the Russian Federation Department of Data Analysis and Machine Learning Moscow Russia Bauman Moscow State Technical University Department of Higher Mathematics Moscow Russia V.A.Trapeznikov Institute of Control Sciences of Ras Laboratory of Management of the Development of Large-Scale Systems Moscow Russia Financial University under the Government of the Russian Federation Faculty of International Economic Relations Moscow Russia Financial University under the Government of the Russian Federation Department of Mathematics Moscow Russia
The development of accurate forecasting models for financial time series is an essential area of research in finance and economics. The article describes modern models and forecasting methods. © 2023 IEEE.
来源: 评论
An Evolutionary machine learning Approach to Outlier Detec-Tion Based on Weighted Sum Model with Automatic Weight Discovery by Slsl-Qpso
SSRN
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SSRN 2024年
作者: Kang, Liang Zhang, Xiukai Krakhmalev, Oleg Zeng, Wenlei Engineering Training and Innovation Education Center Shanghai Polytechnic University Shanghai201209 China School of Computer and Information Engineering Shanghai Polytechnic University Shanghai201209 China Department of Data Analysis and Machine Learning Financial University under the Government of the Russian Federation 4‐th Veshnyakovsky Passage 4 Moscow109456 Russia
In this study, we present a weighted sum methodology to assign a quantifiable value to each data point within a dataset, reflecting its propensity to be an outlier. This value is subsequently trans-formed into a proba... 详细信息
来源: 评论
RVPD: An Automated System for Calculating the Tortuosity and Bifurcation Angles of Retinal Vessels to Predict Diseases
RVPD: An Automated System for Calculating the Tortuosity and...
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IEEE International Symposium on Biomedical Imaging
作者: Guangzhengao Yang Xingyu Luo Jie Zhao Fangfang Fan Haoshen Li Bin Dong Li Zhang Yan Zhang Center for Data Science Peking University China Department of Cardiology Peking University First Hospital China National Engineering Laboratory for Big Data Analysis and Applications Peking University China Peking University Changsha Institute for Computing and Digital Economy China Beijing International Center for Mathematical Research Peking University China Center for Machine Learning Research Peking University China National Biomedical Imaging Center Peking University China
Hypertension and diabetes are known to potentially cause morphological changes in the retinal capillary system, yet quantifying these changes presents significant challenges. This research addresses this issue by desi... 详细信息
来源: 评论
BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation
arXiv
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arXiv 2024年
作者: Zhang, Xianzhi Zhou, Yipeng Hu, Miao Wu, Di Liao, Pengshan Guizani, Mohsen Sheng, Michael The School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China The Department of Computing Faculty of Science and Engineering Macquarie University Sydney Australia The Machine Learning Department Mohamed Bin Zayed University of Artificial Intelligence Abu Dhabi United Arab Emirates
To mitigate the rising concern about privacy leakage, the federated recommender (FR) paradigm emerges, in which decentralized clients co-train the recommendation model without exposing their raw user-item rating data.... 详细信息
来源: 评论
Developing a Strategy for the Digital Transformation of an Educational Organization Based on Cloud Technology
Developing a Strategy for the Digital Transformation of an E...
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Information Systems Theory and Practice (ISTP), Seminar on
作者: Alexander V. Olifirov Krystina A. Makoveichuk Sergei A. Petrenko Department of Economics and Finance V.I Vernadsky Crimean Federal University Yalta Russia Department of Data Analysis and Machine Learning Financial University under the Government of the Russian Federation Moscow Russia Department of Information Security Saint Petersburg Electrotechnical University “LETI” Saint Petersburg Russia
The article examines the theory and practical implementation of a digital transformation strategy. It was found that the main stages of formation of the digital transformation strategy of the organization are determin...
来源: 评论
Correction to: Potential cyber threats of adversarial attacks on autonomous driving models
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Journal of Computer Virology and Hacking Techniques 2023年 第2期20卷 315-315页
作者: Boltachev, Eldar Department of Data Analysis and Machine Learning Financial University Under the Government of the Russian Federation Moscow Russia
来源: 评论
PAM: A Propagation-Based Model for Segmenting Any 3D Objects across Multi-Modal Medical Images
arXiv
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arXiv 2024年
作者: Chen, Zifan Nan, Xinyu Li, Jiazheng Zhao, Jie Li, Haifeng Lin, Ziling Li, Haoshen Chen, Heyun Liu, Yiting Tang, Lei Zhang, Li Dong, Bin Center for Data Science Peking University Beijing China Department of Radiology Key Laboratory of Carcinogenesis and Translational Research Ministry of Education Peking University Cancer Hospital and Institute Beijing China National Engineering Laboratory for Big Data Analysis and Applications Peking University Beijing China Peking University Beijing China Center for Machine Learning Research Peking University Beijing China National Biomedical Imaging Center Peking University Beijing China
Background: Volumetric segmentation is crucial for medical imaging applications but faces significant challenges. Current approaches often require extensive manual annotations and scenario-specific model training, lim... 详细信息
来源: 评论