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检索条件"机构=Key Laboratory of Intelligent Computing in Medical Image"
842 条 记 录,以下是421-430 订阅
排序:
Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease
Feature-aware Multi-task feature learning for Predicting Cog...
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IEEE International Conference on Bioinformatics and Biomedicine
作者: Peng Cao Jinzhu Yang Shanshan Tang Dazhe Zhao Osmar Zaiane Min Huang Amine Trabelsi College of Computer Science and Engineering Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Northeastern University College of Computer Science and Engineering Northeastern University College of Information Science and Engineering Northeastern University Department of Computing Science University of Alberta Department of Computing Science University of Alberta
Machine learning algorithms and multivariate data analysis methods have been widely utilized in the field of Alzheimer's disease (AD) research in recent years. Predicting cognitive performance of subjects from neu... 详细信息
来源: 评论
Dermoscopic image Classification Using Attention Mechanism and Ensemble Learning Approaches
Dermoscopic Image Classification Using Attention Mechanism a...
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IEEE International Conference on Big Data
作者: Shanchuan Huang Hongwei Lei Liuhan Jin Jinzhu Yang Tao Jiang Yudong Yao Marcin Grzegorzek Chen Li Microscopic Image and Medical Image Analysis Group College of Medicine and Biological Information Engineering Northeastern University China Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Northeastern University Shenyang Liaoning China School of Intelligent Medicine Chengdu University of Traditional Chinese Medicine Chengdu China Department of Electrical and Computer Engineering Stevens Institute of Technology USA Institute of Medical Informatics University of Luebeck Luebeck Germany
Background and purpose: Skin tumours have become one of the most common diseases worldwide. While benign ones are not usually a threat to human health, malignant ones can develop into skin cancer and become life-threa...
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Availability analysis and optimization in CoMP and CA-enabled HetNets
Availability analysis and optimization in CoMP and CA-enable...
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作者: Jia, Jie Deng, Yansha Chen, Jian Aghvami, Abdol-Hamid Nallanathan, Arumugam Key Laboratory of Medical Image Computing Northeastern University Ministry of Education Shenyang110819 China School of Computer Science and Engineering Northeastern University Shenyang110819 China Department of Informatics King's College London LondonWC2R 2LS United Kingdom
Traditional cellular networks are moving toward heterogeneous cellular networks (HetNets) to satisfy the stringent demand for data rates and capacity. To enable the new applications in 5G, such as haptic communication... 详细信息
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dense feature aggregation and pruning for RGBT tracking
arXiv
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arXiv 2019年
作者: Zhu, Yabin Li, Chenglong Luo, Bin Tang, Jin Wang, Xiao Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei Anhui China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Institute of Physical Science and Information Technology Anhui University Hefei Anhui China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Key Laboratory of Industrial Image Processing and Analysis of Anhui Province Hefei Anhui China
How to perform effective information fusion of different modalities is a core factor in boosting the performance of RGBT tracking. This paper presents a novel deep fusion algorithm based on the representations from an... 详细信息
来源: 评论
Boosting Point-BERT by Multi-choice Tokens
arXiv
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arXiv 2022年
作者: Fu, Kexue Yuan, Mingzhi Wang, Manning Digital Medical Research Center School of Basic Medical Science Fudan University Shanghai China Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention Shanghai China
Masked language modeling (MLM) has become one of the most successful self-supervised pre-training task. Inspired by its success, Point-BERT, as a pioneer work in point cloud, proposed masked point modeling (MPM) to pr... 详细信息
来源: 评论
An Auto-Encoding Generative Adversarial Networks for Generating Brain Network  2020
An Auto-Encoding Generative Adversarial Networks for Generat...
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The Fourth International Symposium on image computing and Digital Medicine
作者: Shan Zhang Peng Cao Lili Dou Jinzhu Yang Dazhe Zhao Computer Science and Engineering Northeastern University Shenyang China and Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education Northeastern University Shenyang China China Artificial Intelligence and Clinical Innovation Research Neusoft of Medical Systems Shenyang China China
Generative adversarial networks (GANs) are powerful generative models that have led to breakthroughs in image generation. The aim of our work is to adapt the idea of GANs to the graph data based on fMRI, which can sol... 详细信息
来源: 评论
GCN-RNN: An Unified Framework for Modeling the multi-label diagnosis of chest X-ray disease  2020
GCN-RNN: An Unified Framework for Modeling the multi-label d...
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The Fourth International Symposium on image computing and Digital Medicine
作者: Chunyu Jiang Peng Cao Lili Dou Jinzhu Yang Dazhe Zhao Computer Science and Engineering Northeastern University Shenyang China and Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education Northeastern University Shenyang China China Northeastern University China Neusoft Corporation Shenyang China China
Chest X-ray is one of the most common radiology exams used for screening of lung diseases. A typical chest X-ray image might contain multiple thoracic diseases, which is a multi-label learning problem. Multi-label lea... 详细信息
来源: 评论
Crawling Result Pages for Data Extraction Based on URL Classification
Crawling Result Pages for Data Extraction Based on URL Class...
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Web Information Systems and Applications Conference (WISA)
作者: Tiezheng Nie Zhenhua Wang Yue Kou Rui Zhang Key Laboratory of Medical Image Computing Ministry of Education Northeastern University Shenyang China College of Information Science and Engineering Northeastern University Shenyang China
In Web database integration, crawling data pages is important for data extraction. The fact that data are contained by multiple result pages increases the difficulty of accessing data for integration. Thus, it is nece... 详细信息
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Protein-coding genes combined with long noncoding RNA as a novel transcriptome molecular staging model to predict the survival of patients with esophageal squamous cell carcinoma
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Cancer Communications 2018年 第1期38卷 50-62页
作者: Jin-Cheng Guo Yang Wu Yang Chen Feng Pan Zhi-Yong Wu Jia-Sheng Zhang Jian-Yi Wu Xiu-E Xu Jian-Mei Zhao En-Min Li Yi Zhao Li-Yan Xu Key Laboratory of Molecular Biology in High Cancer Incidence Coastal Chaoshan Area of Guangdong Higher Education Institutes Shantou University Medical CollegeShantouGuangdong 515041P.R.China Department of Biochemistry and Molecular Biology Shantou University Medical CollegeShantouGuangdong 515041P.R.China Departments of Oncology Surgery Shantou Central HospitalAffiliated Shantou Hospital of Sun Yat-Sen UniversityShantouGuangdong 515041P.R.China Institute of Oncologic Pathology Shantou University Medical CollegeShantouGuangdong 515041P.R.China Key Laboratory of Intelligent Information Processing Advanced Computer Research CenterState Key Laboratory of Computer ArchitectureInstitute of Computing TechnologyChinese Academy of SciencesBeijing 100190P.R.China
Background:Esophageal squamous cell carcinoma(ESCC)is the predominant subtype of esophageal carcinoma in *** study was to develop a staging model to predict outcomes of patients with ***:Using Cox regression analysis,... 详细信息
来源: 评论
Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation
arXiv
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arXiv 2023年
作者: Wang, Changqi Xie, Haoyu Yuan, Yuhui Fu, Chong Yue, Xiangyu School of Computer Science and Engineering Northeastern University Shenyang China The Chinese University of Hong Kong Hong Kong Microsoft Research Asia China Key Laboratory of Intelligent Computing in Medical Image Ministry of Education NEU China
Semi-Supervised Semantic Segmentation (S4) aims to train a segmentation model with limited labeled images and a substantial volume of unlabeled images. To improve the robustness of representations, powerful methods in... 详细信息
来源: 评论