中国科学院机构知识库网格系统: 检索

A Secure Medical Information Storage and Sharing Method Based on Multiblockchain Architecture 期刊论文 OAI收割
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 页码: 15
作者: Hu, Jian; Zhu, Peng; Li, Juanjuan; Qi, Yong; Xia, Youbing

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收藏 | 浏览/下载：9/0 | 提交时间：2024/07/03

Medical diagnostic imaging Secure storage Consensus protocol Hospitals Medical services Memory Insurance Blockchain information storage and sharing medical information multiblockchain architecture

Radiomics and Deep Learning in Nasopharyngeal Carcinoma: A Review 期刊论文 OAI收割
IEEE REVIEWS IN BIOMEDICAL ENGINEERING, 2024, 卷号: 17, 页码: 118-135
作者: Wang, Zipei; Fang, Mengjie; Zhang, Jie; Tang, Linquan; Zhong, Lianzhen

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收藏 | 浏览/下载：30/0 | 提交时间：2024/07/03

Artificial intelligence Medical diagnostic imaging Image segmentation medical imaging nasopharyngeal carcinoma precision diagnosis and treatment

Intraoperative Glioma Grading Using Neural Architecture Search and Multi-Modal Imaging 期刊论文 OAI收割
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 10, 页码: 2570-2581
作者: Xiao, Anqi; Shen, Biluo; Shi, Xiaojing; Zhang, Zhe; Zhang, Zeyu

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收藏 | 浏览/下载：38/0 | 提交时间：2022/11/14

Imaging Computer architecture Fluorescence Feature extraction Surgery Biomedical imaging Medical diagnostic imaging Deep learning glioma grading intraoperative imaging multi-modal imaging neural architecture search NIR-II fluorescence imaging

Interval Type-2 Fuzzy Risk Evaluation and Prevention for Parallel Breast Cancer Treatment System 期刊论文 OAI收割
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 13
作者: Mo, Hong; Hu, Haihong; Hu, Jinhui; Li, Yuanyuan; Wang, Xiao

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收藏 | 浏览/下载：31/0 | 提交时间：2022/07/25

History Fuzzy control Complex systems Training Real-time systems Medical diagnostic imaging Industries ACP breast cancer (BC) fuzzy comprehensive evaluation interval type-2 fuzzy sets (IT2 FSs)

Interval Type-2 Fuzzy Analysis and Comprehensive Evaluation for Neonatal Pathological Jaundice 期刊论文 OAI收割
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 10
作者: Mo, Hong; Yang, Chun; Wang, Xiao; Wang, Fei-Yue

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收藏 | 浏览/下载：51/0 | 提交时间：2022/01/27

Pediatrics Frequency selective surfaces Fuzzy sets Pathology Process control Medical diagnostic imaging Biomedical monitoring Dynamic closed-loop control process fuzzy rule bases interval type-2 fuzzy comprehensive evaluation neonatal pathological jaundice (NPJ)

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises 期刊论文 OAI收割
PROCEEDINGS OF THE IEEE, 2021, 卷号: 109, 期号: 5, 页码: 820-838
作者: Zhou, S. Kevin; Greenspan, Hayit; Davatzikos, Christos; Duncan, James S.; Van Ginneken, Bram

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收藏 | 浏览/下载：35/0 | 提交时间：2021/12/01

Imaging Medical diagnostic imaging Image segmentation Diseases Task analysis Medical services Computed tomography Deep learning (DL) medical imaging survey

Medical Term and Status Generation From Chinese Clinical Dialogue With Multi-Granularity Transformer 期刊论文 OAI收割
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2021, 卷号: 29, 页码: 3362-3374
作者: Li, Mei; Xiang, Lu; Kang, Xiaomian; Zhao, Yang; Zhou, Yu

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收藏 | 浏览/下载：25/0 | 提交时间：2021/12/28

Medical diagnostic imaging Transformers Task analysis Medical services Computational modeling Semantics Data mining Medical dialogue multi-granularity attention mechanism natural language understanding sequence to sequence learning

Study on medical X-ray coherent scatter imaging and processing based digital flat detector (EI CONFERENCE) 会议论文 OAI收割
3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010, October 16, 2010 - October 18, 2010, Yantai, China
作者: Li B.; Zhao J.; Li B.; Li B.; Liu J.

收藏 | 浏览/下载：31/0 | 提交时间：2013/03/25

It is introduced a novel imaging technique for medical diagnostic X-ray coherent scatter in this paper. A set of experimental equipment for X-ray coherent scatter imaging was set up with X-ray digital flat detector and medical diagnostic X-ray source. According to this equipment the scatter images obtained are made of some circles with the same center. It is vital to calculate the energy template to classify the different samples. It is difficult to separate them using the traditional threshold method due to noise and overlapped shadow. In this paper the image was transformed a binary image by using K-Means algorithm and Mathematical Morphology Methods. The effective region was extracted from the binary image inside the orthogonal energy projection space then to calculate the centroid of rings. Consequently the curve of the energy distribution was built. The experiment results show that our method is reasonable and feasible. The technique will have wide foreground of application .Besides the imaging of human bone content it can be used for various imaging of tissue and organs in biology. 2010 IEEE.

Fast algorithm and numerical simulation for ray-tracing in 3D structure EI期刊论文 OAI收割
2008
Gao Er-Gen; Zhang An-Jia; Han Uk; Song Shu-Yun; Zhai Yong-Bo

收藏 | 浏览/下载：27/0 | 提交时间：2012/06/11

Communication channels (information theory) Diagnostic radiography Earthquakes Linear equations Mathematical models Medical imaging Seismology Three dimensional Tomography

The compression and storage method of the same kind of medical images-DPCM (EI CONFERENCE) 会议论文 OAI收割
4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China
作者: Liu H.; Liu H.; Liu H.

收藏 | 浏览/下载：16/0 | 提交时间：2013/03/25

Medical imaging has started to take advantage of digital technology opening the way for advanced medical imaging and teleradiology. Medical images however require large amounts of memory. At over 1 million bytes per image a typical hospital needs a staggering amount of memory storage (over one trillion bytes per year) and transmitting an image over a network (even the promised superhighway) could take minutes - too slow for interactive teleradiology. This calls for image compression to reduce significantly the amount of data needed to represent an image. Several compression techniques with different compression ratio have been developed. However the lossless techniques which allow for perfect reconstruction of the original images yield modest compression ratio while the techniques that yield higher compression ratio are lossy that is the original image is reconstructed only approximately Medical imaging poses the great challenge of having compression algorithms that are lossless (for diagnostic and legal reasons) and yet have high compression ratio for reduced storage and transmission time. To meet this challenge we are developing and studying some compression schemes which are either strictly lossless or diagnostically lossless taking advantage of the peculiarities of medical images and of the medical practice. In order to increase the Signal to-Noise Ratio (SNR) by exploitation of correlations within the source signal a method of combining differential pulse code modulation (DPCM) is presented.