Resource Type

Journal Article 158

Year

2023 18

2022 16

2021 13

2020 12

2019 22

2018 13

2017 16

2016 10

2015 4

2014 2

2013 1

2012 1

2009 3

2008 1

2007 6

2006 5

2005 2

2004 4

2003 2

2001 2

open ︾

Keywords

Deep learning 6

medical education 4

Artificial intelligence 3

Compressed sensing 3

3D printing 2

Compression 2

Compressive sampling 2

Compressive sensing 2

Data hiding 2

Dictionary learning 2

Ensemble learning 2

High-speed railway 2

Hypervelocity impact 2

Image segmentation 2

Scaffold 2

Traditional Chinese medicine 2

3D bioprinting 1

AF(atrial fibrillation) 1

AF/PSTM 1

open ︾

Search scope:

排序： Display mode:

Learning-based parameter prediction for quality control in three-dimensional medical image compression Research Articles

Yuxuan Hou, Zhong Ren, Yubo Tao, Wei Chen,3140104190@zju.edu.cn,renzhong@cad.zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 9,   Pages 1169-1178 doi: 10.1631/FITEE.2000234

Abstract: is of vital importance in compressing three-dimensional (3D) medical imaging data. Optimal compression parameters need to be determined based on the specific quality requirement. In , regarded as the state-of-the-art compression tool, the quantization parameter (QP) plays a dominant role in controlling quality. The direct application of a video-based scheme in predicting the ideal parameters for 3D cannot guarantee satisfactory results. In this paper we propose a parameter prediction scheme to achieve efficient . Its kernel is a support vector regression (SVR) based learning model that is capable of predicting the optimal QP from both video-based and structural image features extracted directly from raw data, avoiding time-consuming processes such as pre-encoding and iteration, which are often needed in existing techniques. Experimental results on several datasets verify that our approach outperforms current video-based methods.

Keywords： 医学图像压缩；高效视频编码（HEVC）；质量控制；基于学习方法    

HTML PDF Collect

Adaptive compression method for underwater images based on perceived quality estimation Regular Papers

Ya-qiong CAI, Hai-xia ZOU, Fei YUAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5,   Pages 716-730 doi: 10.1631/FITEE.1700737

Abstract:

Underwater image compression is an important and essential part of an underwater image transmission system. An assessment and prediction method of effectively compressed image quality can assist the system in adjusting its compression ratio during the image compression process, thereby improving the efficiency of the image transmission system. This study first estimates the perceived quality of underwater image compression based on embedded coding compression and compressive sensing, then builds a model based on the mapping between image activity measurement (IAM) and bits per pixel and structural similarity (BPP-SSIM) curves, next obtains model parameters by linear fitting, and finally predicts the perceived quality of the image compression method based on IAM, compression ratio, and compression strategy. Experimental results show that the model can effectively fit the quality curve of underwater image compression. According to the rules of parameters in this model, the perceived quality of underwater compressed images can be estimated within a small error range. The presented method can effectively estimate the perceived quality of underwater compressed images, balance the relationship between the compression ratio and compression quality, reduce the pressure on the data cache, and thus improve the efficiency of the underwater image communication system.

Keywords： Underwater image compression     Set partitioning in hierarchical trees     Compressive sensing     Compression quality estimation    

HTML PDF Collect

Research of Lossless Image Compression Base on Level-scalability

Li Luwei,Zhou Shuoyan,Cai Yiyu

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 33-37

Abstract:

A level-embedded lossless image compression method for continuous-tone still images is presented. Level (bit-plane) scalability is achieved by separating the image into two layers (the base layer and the residual layer) before compression. Excellent compression performance is obtained by exploiting both spatial and interlevel correlations. A comparison of the proposed scheme with a number of scalable and non-scalable lossless image compression algorithms indicates that the level-embedded compression incurs only a small penalty in compression efficiency over non-scalable lossless compression, while offering the significant benefit of level-scalability.

Keywords： data processing techniques     lossless image compression     context-based model     embedded level    

HTML PDF Collect

A New Algorithm of Fractal Image Coding

Wang Xiuni,Jiang Wei,Wang Licun

Strategic Study of CAE 2006, Volume 8, Issue 1,   Pages 54-57

Abstract:

Because it takes too much of time in fractal image coding, the paper analyses the factors that affect the speed of fractal image coding , and proposes a novel idea by using the reformed variance (tentatively) to improve image fractal compression performance . A theorem is proved that the IFS cannot change the image blocks' reformed variance. Moreover , it gives a novel fractal image compression method based on the reformed variance. The simulation results illuminate that the new method can run fast, at the same time it can improve the PSNR when compared with other fast algorithms.

Keywords： fractal coding     image compression     variance    

HTML PDF Collect

Deep Learning in Medical Ultrasound Analysis: A Review Review

Shengfeng Liu, Yi Wang, Xin Yang, Baiying Lei, Li Liu, Shawn Xiang Li, Dong Ni, Tianfu Wang

Engineering 2019, Volume 5, Issue 2,   Pages 261-275 doi: 10.1016/j.eng.2018.11.020

Abstract:

Ultrasound (US) has become one of the most commonly performed imaging modalities in clinical practice. It is a rapidly evolving technology with certain advantages and with unique challenges that include low imaging quality and high variability. From the perspective of image analysis, it is essential to develop advanced automatic US image analysis methods to assist in US diagnosis and/or to make such assessment more objective and accurate. Deep learning has recently emerged as the leading machine learning tool in various research fields, and especially in general imaging analysis and computer vision. Deep learning also shows huge potential for various automatic US image analysis tasks. This review first briefly introduces several popular deep learning architectures, and then summarizes and thoroughly discusses their applications in various specific tasks in US image analysis, such as classification, detection, and segmentation. Finally, the open challenges and potential trends of the future application of deep learning in medical US image analysis are discussed.

Keywords： Deep learning     Medical ultrasound analysis     Classification     Segmentation     Detection    

HTML PDF Collect

A joint image compression and encryption scheme based on a novel coupled map lattice system and DNA operations Research Article

Yuanyuan LI, Xiaoqing YOU, Jianquan LU, Jungang LOU,jqluma@seu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 813-827 doi: 10.1631/FITEE.2200645

Abstract: In this paper, an efficient image encryption scheme based on a novel mixed linear–nonlinear coupled map lattice (NMLNCML) system and is presented. The proposed NMLNCML system strengthens the chaotic characteristics of the system, and is applicable for image encryption. The main advantages of the proposed method are embodied in its extensive key space; high sensitivity to secret keys; great resistance to chosen-plaintext attack, statistical attack, and differential attack; and good robustness to noise and data loss. Our image cryptosystem adopts the architecture of scrambling, compression, and diffusion. First, a plain image is transformed to a sparsity coefficient matrix by discrete wavelet transform, and plaintext-related Arnold scrambling is performed on the coefficient matrix. Then, (STP) is employed to compress and encrypt the coefficient matrix. Finally, the compressed coefficient matrix is diffused by DNA random encoding, DNA addition, and bit XOR operation. The NMLNCML system is applied to generate chaotic elements in the STP measurement matrix of and the pseudo-random sequence in . An SHA-384 function is used to produce plaintext secret keys and thus makes the proposed encryption algorithm highly sensitive to the original image. Simulation results and performance analyses verify the security and effectiveness of our scheme.

Keywords： Compressive sensing     Coupled map lattice (CML)     DNA operations     Semi-tensor product    

HTML PDF Collect

Bio-inspired cryptosystem on the reciprocal domain: DNA strands mutate to secure health data Research Articles

S. Aashiq Banu, Rengarajan Amirtharajan,aashiqbanu@sastra.ac.in,amir@ece.sastra.edu

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 7,   Pages 940-956 doi: 10.1631/FITEE.2000071

Abstract: Healthcare and telemedicine industries are relying on technology that is connected to the Internet. Digital health data are more prone to cyber attacks because of the treasure trove of personal data they possess. This necessitates protection of digital medical images and their secure transmission. In this paper, an encryption technique based on mutated with Lorenz and Lü is employed to generate high pseudo-random key streams. The proposed chaos- cryptic system operates on the integer wavelet transform (IWT) domain and a bio-inspired , unit for enhancing the confusion and diffusion phase in an approximation coefficient. Finally, an XOR operation is performed with a quantised chaotic set from the developed combined attractors. The algorithm attains an average entropy of 7.9973, near-zero correlation with an NPCR of 99.642%, a UACI of 33.438%, and a keyspace of 10. Further, the experimental analyses and NIST statistical test suite have been designed such that the proposed technique has the potency to withstand any statistical, differential, and brute force attacks.

Keywords： 医学图像加密；DNA；混沌吸引子；交叉；突变；电子医疗    

HTML PDF Collect

Vibration-based hypervelocity impact identification and localization Research Article

Jiao BAO, Lifu LIU, Jiuwen CAO,jwcao@hdu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 515-529 doi: 10.1631/FITEE.2000483

Abstract: Hypervelocity impact (HVI) vibration source identification and localization have found wide applications in many fields, such as manned spacecraft protection and machine tool collision damage detection and localization. In this paper, we study the synchrosqueezed transform (SST) algorithm and the texture color distribution (TCD) based HVI source identification and localization using impact images. The extracted SST and TCD image features are fused for HVI image representation. To achieve more accurate detection and localization, the optimal selective stitching features OSSST+TCD are obtained by correlating and evaluating the similarity between the sample label and each dimension of the features. Popular conventional classification and regression models are merged by voting and stacking to achieve the final detection and localization. To demonstrate the effectiveness of the proposed algorithm, the HVI data recorded from three kinds of high-speed bullet striking on an aluminum alloy plate is used for experimentation. The experimental results show that the proposed HVI identification and localization algorithm is more accurate than other algorithms. Finally, based on sensor distribution, an accurate four-circle centroid localization algorithm is developed for HVI source coordinate localization.

Keywords： Ensemble learning     Synchrosqueezied transform     Gray-level co-occurrence matrix     Image entropy     Distance estimation    

HTML PDF Collect

Research on Origin of Traditional Chinese Medicine

Fu Youfeng

Strategic Study of CAE 2006, Volume 8, Issue 9,   Pages 1-12

Abstract:

Based on prototype analysis of epidemic disease and ancient therapy (such as iron method, fire moxibustion and acupuncture therapy) , the author has explored the relationship between epidemic disease (especially bubonic plague) and medicine origin. From the point of view that medicine comes of epidemic disease, the author has conducted research on rich resources of Chinese cultural relics, ancient writing and medical literature on medicine history, including the difference between ancient name and modem name of disease, difference between TCM and Western medicine in terms of methodology. It would provide precious reference for the analysis and promotion of TCM achievement on epidemic disease and for the research on combination of TCM and Western medicine, sustainable development of TCM and international promotion of TCM.

Keywords： world medicine history     history of TCM     medicine origin     plague     cholera     smallpox     comparative medicine    

HTML PDF Collect

Image Engineering and Its Research Status in China

Zhang Yujin

Strategic Study of CAE 2000, Volume 2, Issue 8,   Pages 91-94

Abstract:

This paper provides a well-regulated explanation of the definition as well as contents of image engineering, a classification of the theories of image engineering and the applications of image technology. In addition, a comprehensive survey on important Chinese publications about image engineering in the past five years is carried out. An analysis and a discussion of the statistics made on the classification results are also presented. This work shows a general and up-to-date picture of the current status, progress trends and application areas of image engineering in China. It also supplies useful information for readers doing research and/or application works in this field, and provides a helpful reference for editors of journals and potential authors of papers.

Keywords： image engineering     publication     survey    

HTML PDF Collect

Joint compressed sensing imaging and phase adjustment via an iterative method for multistatic passive radar None

Jue WANG, Jun WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 557-568 doi: 10.1631/FITEE.1601423

Abstract: The resolution of the multistatic passive radar imaging system (MPRIS) is poor due to the narrow bandwidth of the signal transmitted by illuminators of opportunity. Moreover, the inaccuracies caused by the inaccurate tracking system or the error position measurement of illuminators or receivers can deteriorate the quality of an image. To improve the performance of an MPRIS, an imaging method based on the tomographic imaging principle is presented. Then the compressed sensing technique is extended to the MPRIS to realize high-resolution imaging. Furthermore, a phase correction technique is developed for compen-sating for phase errors in an MPRIS. Phase errors can be estimated by iteratively solving an equation that is derived by minimizing the mean recovery error of the reconstructed image based on the principle of fixed-point iteration technique. The technique is nonparametric and can be used to estimate phase errors of any form. The effectiveness and convergence of the technique are confirmed by numerical simulations.

Keywords： Multistatic passive radar     Compressed sensing     Phase adjustment     Fixed-point iteration technique    

HTML PDF Collect

Formation Process and Mechanical Deformation Behavior of a Novel Laser-Printed Compression-Induced Twisting-Compliant Mechanism Article

Jie Gao, Dongdong Gu, Chenglong Ma, Donghua Dai, Lixia Xi, Kaijie Lin, Tong Gao, Jihong Zhu, Yuexin Du

Engineering 2022, Volume 15, Issue 8,   Pages 133-142 doi: 10.1016/j.eng.2021.03.032

Abstract:

A novel compression-induced twisting (CIT)-compliant mechanism was designed based on the freedom and constraint topology (FACT) method and manufactured by means of laser powder bed fusion (LPBF). The effects of LPBF printing parameters on the formability and compressive properties of the laserprinted CIT-compliant mechanism were studied. Within the range of optimized laser powers from 375 to 450 W and with the densification level of the samples maintained at above 98%, changes in the obtained relative densities of the LPBF-fabricated CIT-compliant mechanism with the applied laser powers were not apparent. Increased laser power led to the elimination of residual metallurgical pores within the inclined struts of the CIT mechanism. The highest dimensional accuracy of 0.2% and the lowest surface roughness of 20 μm were achieved at a laser power of 450 W. The deformation behavior of the CIT-compliant mechanism fabricated by means of LPBF exhibited four typical stages: an elastic stage, a heterogeneous plastic deformation stage, a strength-destroying stage, and a deformation-destroying stage (or instable deformation stage). The accumulated compressive strain of the optimally printed CIT mechanism using a laser power of 450 W went up to 20% before fracturing, demonstrating a large deformation capacity. The twisting behavior and mechanical properties were investigated via a combination of finite-element simulation and experimental verification. An approximately linear relationship between the axial compressive strain and rotation angle was achieved before the strain reached 15% for the LPBF-processed CIT-compliant mechanism.

Keywords： Laser 3D printing     Laser powder bed fusion     Compression-induced twisting-compliant mechanism     Compression–torsion property     Mechanical properties    

HTML PDF Collect

International Comparative Study on the Setting of Medical Specialty Catalogue and Countermeasures

Yu Zhongguang, Zhang Pengjun, Zhang Zhixin, Wang Chen

Strategic Study of CAE 2020, Volume 22, Issue 1,   Pages 139-145 doi: 10.15302/J-SSCAE-2020.01.018

Abstract:

The medical specialty catalogue is of great significance for promoting the development of the medical discipline and cultivating qualified medical talents; therefore, a comprehensive and scientific medical specialty catalogue becomes even more important in the context of constructing first-class disciplines in colleges and universities. To promote the progressive development of medical disciplines in China, this research sorted out the medical specialty category by literature analysis, and systematically compared the features and category of medical specialty among the U.S. and the U.K. and China. Several major problems are raised as follow: non-uniform medical specialty and sub-specialty category, outdated arrangement of specialties in quantities and content, premature entry into sub-specialty training, inconsistent categories with standardized residential training, etc. To tackle the problems above, this research suggests that the medical specialty category should be in track with global standard, unified with interdisciplinary approach,and standardized admission and exit criteria be set up, which will prepare future qualified health professionals and promote the advancement of medical disciplines.

Keywords： medicine     specialty catalogue     clinical medicine     comparative analysis    

HTML PDF Collect

High-payload completely reversible data hiding in encrypted images by an interpolation technique Article

Di XIAO, Ying WANG, Tao XIANG, Sen BAI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1732-1743 doi: 10.1631/FITEE.1601067

Abstract: We present a new high-payload joint reversible data-hiding scheme for encrypted images. Instead of embedding data in the encrypted image directly, the content owner first uses an interpolation technique to estimate whether the location can be used for embedding and generates a location map before encryption. Next, the data hider embeds the additional data through flipping the most significant bits (MSBs) of the encrypted image according to the location map. At the receiver side, before extracting the additional data and reconstructing the image, the receiver decrypts the image first. Experimental results demonstrate that the proposed method can achieve real reversibility, which means data extraction and image recovery are free of error. Moreover, our scheme can embed more payloads than most existing reversible data hiding schemes in encrypted images.

Keywords： Encrypted image     Data hiding     Image recovery     Real reversibility     Interpolation    

HTML PDF Collect

Theory and Practice of Space Medico-engineeringChen Shanguang

Chen Shanguang

Strategic Study of CAE 2007, Volume 9, Issue 9,   Pages 30-34

Abstract:

Space Medico-Engineering is a newly emerged subject with its own characteristic theoretical system and technological methods.  With 40 years′ development and practice of manned space flight in China,  it gradually comes into being.  This paper briefly introduces its concept,  system structure,  research content and characteristics.

Keywords： active anti-blockage     no-till seeder     light seeder     conservation tillage     direct seeding wheat    

HTML PDF Collect

Title Author Date Type Operation

Learning-based parameter prediction for quality control in three-dimensional medical image compression

Yuxuan Hou, Zhong Ren, Yubo Tao, Wei Chen,3140104190@zju.edu.cn,renzhong@cad.zju.edu.cn

Journal Article

Adaptive compression method for underwater images based on perceived quality estimation

Ya-qiong CAI, Hai-xia ZOU, Fei YUAN

Journal Article

Research of Lossless Image Compression Base on Level-scalability

Li Luwei,Zhou Shuoyan,Cai Yiyu

Journal Article

A New Algorithm of Fractal Image Coding

Wang Xiuni,Jiang Wei,Wang Licun

Journal Article

Deep Learning in Medical Ultrasound Analysis: A Review

Shengfeng Liu, Yi Wang, Xin Yang, Baiying Lei, Li Liu, Shawn Xiang Li, Dong Ni, Tianfu Wang

Journal Article

A joint image compression and encryption scheme based on a novel coupled map lattice system and DNA operations

Yuanyuan LI, Xiaoqing YOU, Jianquan LU, Jungang LOU,jqluma@seu.edu.cn

Journal Article

Bio-inspired cryptosystem on the reciprocal domain: DNA strands mutate to secure health data

S. Aashiq Banu, Rengarajan Amirtharajan,aashiqbanu@sastra.ac.in,amir@ece.sastra.edu

Journal Article

Vibration-based hypervelocity impact identification and localization

Jiao BAO, Lifu LIU, Jiuwen CAO,jwcao@hdu.edu.cn

Journal Article

Research on Origin of Traditional Chinese Medicine

Fu Youfeng

Journal Article

Image Engineering and Its Research Status in China

Zhang Yujin

Journal Article

Joint compressed sensing imaging and phase adjustment via an iterative method for multistatic passive radar

Jue WANG, Jun WANG

Journal Article

Formation Process and Mechanical Deformation Behavior of a Novel Laser-Printed Compression-Induced Twisting-Compliant Mechanism

Jie Gao, Dongdong Gu, Chenglong Ma, Donghua Dai, Lixia Xi, Kaijie Lin, Tong Gao, Jihong Zhu, Yuexin Du

Journal Article

International Comparative Study on the Setting of Medical Specialty Catalogue and Countermeasures

Yu Zhongguang, Zhang Pengjun, Zhang Zhixin, Wang Chen

Journal Article

High-payload completely reversible data hiding in encrypted images by an interpolation technique

Di XIAO, Ying WANG, Tao XIANG, Sen BAI

Journal Article

Theory and Practice of Space Medico-engineeringChen Shanguang

Chen Shanguang

Journal Article