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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
Keywords: 医学图像加密;DNA;混沌吸引子;交叉;突变;电子医疗
Dynamic analysis, FPGA implementation, and cryptographic application of an autonomous 5D chaotic system with offset boosting Research Articles
Sifeu Takougang Kingni, Karthikeyan Rajagopal, Serdar Çiçek, Ashokkumar Srinivasan, Anitha Karthikeyan,stkingni@gmail.com
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6, Pages 809-962 doi: 10.1631/FITEE.1900167
Keywords: 混沌系统;霍普夫分岔;共存吸引子;偏置增强;FPGA实现;声音加密
novel color image encryption algorithm based on a fractional-order discrete chaotic neural network and DNA Research Articles
Li-ping Chen, Hao Yin, Li-guo Yuan, António M. Lopes, J. A. Tenreiro Machado, Ran-chao Wu,lip_chenhut@126.com
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6, Pages 809-962 doi: 10.1631/FITEE.1900709
Keywords: 分数阶离散系统;神经网络;DNA加密;彩色图像加密
Cellular automata based multi-bit stuck-at fault diagnosis for resistive memory Research Article
Sutapa SARKAR, Biplab Kumar SIKDAR, Mousumi SAHA
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7, Pages 1110-1126 doi: 10.1631/FITEE.2100255
Keywords: Resistive memory Cell reliability Stuck-at fault diagnosis Single-length-cycle single-attractor cellular automata Single-length-cycle two-attractor cellular automata Single-length-cycle multiple-attractor cellular automata
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
Keywords: Compressive sensing Coupled map lattice (CML) DNA operations Semi-tensor product
Optimal one-bit perturbation in Boolean networks based on cascading aggregation Research Articles
Jin-feng PAN, Min MENG
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2, Pages 294-303 doi: 10.1631/FITEE.1900411
Keywords: Large-scale Boolean network Attractor Cascading aggregation One-bit perturbation
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
Keywords: 医学图像压缩;高效视频编码(HEVC);质量控制;基于学习方法
A novel hybrid cryptosystem based on DQFrFT watermarking and 3D-CLM encryption for healthcare services Research Article
Fatma KHALLAF, Walid EL-SHAFAI, El-Sayed M. EL-RABAIE, Naglaa F. SOLIMAN, Fathi E. Abd EL-SAMIE,fatma.mohammed333@gmail.com,eng.waled.elshafai@gmail.com,elsayedelrabaie@gmail.com,nfsoliman@pnu.edu.sa,fathi_sayed@yahoo.com
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 7, Pages 1045-1061 doi: 10.1631/FITEE.2200372
Keywords: Color medical image Quaternion Adaptive watermarking Encryption Fractional transform Three-dimensional chaotic logistic map (3D-CLM)
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
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
On Balancing Mechanism Between Supply of Medical Education and Demand for Clinicians in China
Li Na , Du Jian , Tang Xiaoli , Gao Baihong , Zhan Qimin
Strategic Study of CAE 2019, Volume 21, Issue 2, Pages 89-92 doi: 10.15302/J-SSCAE-2019.02.008
The imbalance between supply and demand in terms of talent cultivation scale, structure, and quality is one of the key issues facing the cultivation of medical personnel in China. The supply of medical talents in China cannot meet the growing demand for health, the quality of personnel training is uneven, and the talent supply structure does not match social needs. Through the research and discussion on the forms and contents of medical education in the United States and the United Kingdom, this paper proposes the enlightenment on how to maintain the balance between supply and demand of medical education in China and how to improve the efficiency of medical training. It is suggested to gradually establish a talent supply and demand balance mechanism where the number and structure of post-graduate education posts determines the enrollment scale and structure of medical colleges and universities, and establish a dynamic monitoring and early warning mechanism for the demand for medical talents. Furthermore, medical personnel training requires cross-departmental macro-coordination and regulation, and quality requirements such as a high threshold for doctors should be set to limit the cultivation scale of medical talents.
Keywords: medical education clinical training supply-demand balancing mechanism policy implications
Development Strategies for Artificial Intelligence and Robotics in Medicine
Han Xiaoguang, Zhu Xiaolong, Jiang Yuzhen, He Da, Liu Wenyong,Duan Xingguang, Tian Wei
Strategic Study of CAE 2023, Volume 25, Issue 5, Pages 43-54 doi: 10.15302/J-SSCAE-2023.07.031
China is facing significant challenges in healthcare owing to a severe aging population, continuously increasing healthcare demands, and uneven distribution of healthcare resources. The application of artificial intelligence (AI) and robotics in the human medical and health field can provide innovative support in theory and diagnosis for surgeons, researchers, and patients, contributing to improved clinical outcomes, reduced medical costs, and the promotion of balanced distribution of healthcare resources. This paper starts from four aspects: surgical robots, rehabilitation and nursing robots, assisted telemedicine, and medical AI, extracts the typical applications of AI and robots in the medical field, assesses the current status of AI and robotics in medicine, and evaluates pertinent policies, laws, and regulatory frameworks. Based on the understanding of the challenges faced in the development of AI and robotics in medicine in China, it delineates phased development goals and identifies future key directions: advancing toward differentiated, miniaturized, and intelligent surgical robotics; emphasizing patient-centered rehabilitation and nursing robotics; achieving multi-tasking and high situational awareness in assisted telemedicine; and promoting medical AI for healthcare innovation. This paper suggests determining promising research directions for surgical robotics, promoting domestic production of core components, exploring commercially viable models that align with national conditions, expanding the coverage of product applications, focusing on the development of specialized talent pools, implementing technology innovation driven by clinical demands, and strengthening regulations to reduce medical accidents and safeguard data privacy. These measures are expected to foster high-quality development of AI and robotics in medicine in China.
Keywords: smart healthcare artificial intelligence surgical robotics rehabilitation and nursing robotics assisted telemedicine
Interactive medical image segmentation with self-adaptive confidence calibration
沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9, Pages 1332-1348 doi: 10.1631/FITEE.2200299
Keywords: Medical image segmentation Interactive segmentation Multi-agent reinforcement learning Confidence learning Semi-supervised learning
Discrete fractional watermark technique Correspondence
Zai-rong Wang, Babak Shiri, Dumitru Baleanu,wangzr@njtc.edu.cn,shire_babak@yahoo.com,dumitru@cankaya.edu.tr
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6, Pages 809-962 doi: 10.1631/FITEE.2000133
Keywords: 离散分数阶微积分;图像加密;水印
Chaotic digital cryptosystem using serial peripheral interface protocol and its dsPIC implementation None
Rodrigo MÉNDEZ-RAMÍREZ, Adrian ARELLANO-DELGADO, César CRUZ-HERNÁNDEZ, Fausto ABUNDIZ-PÉREZ, Rigoberto MARTÍNEZ-CLARK
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2, Pages 165-179 doi: 10.1631/FITEE.1601346
Keywords: Chaotic systems Statistical tests Embedded systems dsPIC microcontroller Serial peripheral interface (SPI) protocol
Big Data for Precision Medicine
Daniel Richard Leff, Guang-Zhong Yang
Engineering 2015, Volume 1, Issue 3, Pages 277-279 doi: 10.15302/J-ENG-2015075
This article focuses on the potential impact of big data analysis to improve health, prevent and detect disease at an earlier stage, and personalize interventions. The role that big data analytics may have in interrogating the patient electronic health record toward improved clinical decision support is discussed. We examine developments in pharmacogenetics that have increased our appreciation of the reasons why patients respond differently to chemotherapy. We also assess the expansion of online health communications and the way in which this data may be capitalized on in order to detect public health threats and control or contain epidemics. Finally, we describe how a new generation of wearable and implantable body sensors may improve wellbeing, streamline management of chronic diseases, and improve the quality of surgical implants.
Keywords: big data biosensors body-sensing networks implantable sensors clinical decision support systems pharmacogenetics mHealth
Title Author Date Type Operation
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
Dynamic analysis, FPGA implementation, and cryptographic application of an autonomous 5D chaotic system with offset boosting
Sifeu Takougang Kingni, Karthikeyan Rajagopal, Serdar Çiçek, Ashokkumar Srinivasan, Anitha Karthikeyan,stkingni@gmail.com
Journal Article
novel color image encryption algorithm based on a fractional-order discrete chaotic neural network and DNA
Li-ping Chen, Hao Yin, Li-guo Yuan, António M. Lopes, J. A. Tenreiro Machado, Ran-chao Wu,lip_chenhut@126.com
Journal Article
Cellular automata based multi-bit stuck-at fault diagnosis for resistive memory
Sutapa SARKAR, Biplab Kumar SIKDAR, Mousumi SAHA
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
Optimal one-bit perturbation in Boolean networks based on cascading aggregation
Jin-feng PAN, Min MENG
Journal Article
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
A novel hybrid cryptosystem based on DQFrFT watermarking and 3D-CLM encryption for healthcare services
Fatma KHALLAF, Walid EL-SHAFAI, El-Sayed M. EL-RABAIE, Naglaa F. SOLIMAN, Fathi E. Abd EL-SAMIE,fatma.mohammed333@gmail.com,eng.waled.elshafai@gmail.com,elsayedelrabaie@gmail.com,nfsoliman@pnu.edu.sa,fathi_sayed@yahoo.com
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
On Balancing Mechanism Between Supply of Medical Education and Demand for Clinicians in China
Li Na , Du Jian , Tang Xiaoli , Gao Baihong , Zhan Qimin
Journal Article
Development Strategies for Artificial Intelligence and Robotics in Medicine
Han Xiaoguang, Zhu Xiaolong, Jiang Yuzhen, He Da, Liu Wenyong,Duan Xingguang, Tian Wei
Journal Article
Interactive medical image segmentation with self-adaptive confidence calibration
沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰
Journal Article
Discrete fractional watermark technique
Zai-rong Wang, Babak Shiri, Dumitru Baleanu,wangzr@njtc.edu.cn,shire_babak@yahoo.com,dumitru@cankaya.edu.tr
Journal Article
Chaotic digital cryptosystem using serial peripheral interface protocol and its dsPIC implementation
Rodrigo MÉNDEZ-RAMÍREZ, Adrian ARELLANO-DELGADO, César CRUZ-HERNÁNDEZ, Fausto ABUNDIZ-PÉREZ, Rigoberto MARTÍNEZ-CLARK
Journal Article