Block-Wise Authentication and Recovery Scheme for Medical Images Focusing on Content Complexity

2020 ◽  
pp. 86-99
Author(s):  
Faranak Tohidi ◽  
Manoranjan Paul ◽  
Mohammad Reza Hooshmandasl ◽  
Subrata Chakraborty ◽  
Biswajeet Pradhan
Keyword(s):  
Medical Images ◽  
Recovery Scheme

scholarly journals Modified Location Model Estimation using Content Based Medical Image Retrieval

2019 ◽  
pp. 36-45
Author(s):  
Sachin Kumar ◽  
Krishna Prasad K.
Keyword(s):  
Deep Learning ◽  
Image Retrieval ◽  
Medical Image ◽  
Medical Images ◽  
Location Model ◽  
Human Beings ◽  
Medical Image Retrieval ◽  
Suggested Technique ◽  
Recovery Scheme ◽  
Artificial Neural Network Ann

Image has become more and more difficult to process for human beings. Perfect results cannot be obtained through Content Based Medical Image Retrieval (CBMIR). The CBMIR was implemented to find order effectively retrieve the picture from an enormous database. Deep learning has taken Artificial Intelligence (AI) at an unprecedented rate through revolution and infiltration in the medical field. It has access to vast quantities of information computing energy of effective algorithms of Machine Learning (ML). It enables Artificial Neural Network (ANN) to attain outcomes nearly every Deep Learning (DL) problems. It helps ANN to achieve results everywhere. It is a difficult task to obtain medical images from an anatomically diff dataset. The goal of the research is to automate the medical image recovery scheme that incorporates subject and place probabilities to improve efficiency. It is suggested to integrate the different data or phrases into a DL location model. It is also measuring a fresh metric stance called weighted accuracy (wPrecision). The experiment will be conducted on two big medical image datasets revealing that the suggested technique outperforms current medical imaging technologies in terms of accuracy and mean accuracy. The CBMIR have about 8,000 pictures, the proposed technique will attain excellent precision (nearly 90 percent). The proposed scheme will attain greater precision for the top ten pictures (97.5 percent) as compared to the last CBMIR recovery technologies with 15,000 picture dataset. It will assist doctors with better accuracy in obtaining medical images.

Editor’s Pick: Regulatory and Ethical Issues in the New Era of Radiomics and Radiogenomics

EMJ Radiology ◽  
2020 ◽  
Author(s):  
Filippo Pesapane
Keyword(s):  
Ethical Issues ◽  
Medical Images ◽  
Practical Significance ◽  
Innovative Technology ◽  
New Era ◽  
Naked Eye ◽  
Disease Characteristics ◽  
The Future ◽  
Using Data ◽  
The Relationship

Radiomics is a science that investigates a large number of features from medical images using data-characterisation algorithms, with the aim to analyse disease characteristics that are indistinguishable to the naked eye. Radiogenomics attempts to establish and examine the relationship between tumour genomic characteristics and their radiologic appearance. Although there is certainly a lot to learn from these relationships, one could ask the question: what is the practical significance of radiogenomic discoveries? This increasing interest in such applications inevitably raises numerous legal and ethical questions. In an environment such as the technology field, which changes quickly and unpredictably, regulations need to be timely in order to be relevant.  In this paper, issues that must be solved to make the future applications of this innovative technology safe and useful are analysed.

Self-Protected Spanning Tree Based Recovery Scheme to Protect against Single Failure

2009 ◽  
Vol E92-B (3) ◽  
pp. 909-921
Author(s):  
Depeng JIN ◽  
Wentao CHEN ◽  
Li SU ◽  
Yong LI ◽  
Lieguang ZENG
Keyword(s):  
Spanning Tree ◽  
Recovery Scheme

A Loss-Recovery Scheme for Mixed Unicast and Multicast Traffic Using Network Coding

2013 ◽  
Vol E96.B (12) ◽  
pp. 3116-3123
Author(s):  
Zhiheng ZHOU ◽  
Liang ZHOU ◽  
Shengqiang LI
Keyword(s):  
Network Coding ◽  
Loss Recovery ◽  
Multicast Traffic ◽  
Recovery Scheme

A Low-Latency DMR Architecture with Fast Checkpoint Recovery Scheme

2015 ◽  
Vol E98.C (4) ◽  
pp. 333-339 ◽  
Author(s):  
Go MATSUKAWA ◽  
Yohei NAKATA ◽  
Yasuo SUGURE ◽  
Shigeru OHO ◽  
Yuta KIMI ◽  
...  
Keyword(s):  
Low Latency ◽  
Checkpoint Recovery ◽  
Recovery Scheme

High data rate transmission of medical images - Prospectus for experiments using the NASA Advanced Communications Technology Satellite

1996 ◽  
Author(s):  
Bijoy Khandheria ◽  
Marvin Mitchell ◽  
Barry Gilbert ◽  
Abdul Bengali ◽  
Kirk Garratt ◽  
...  
Keyword(s):  
Medical Images ◽  
Data Rate ◽  
High Data Rate ◽  
Communications Technology ◽  
High Data ◽  
Rate Transmission ◽  
Data Rate Transmission

A Hybrid Robust Watermarking and Encryption for Medical Images using GA Optimized DWT and SVD

2015 ◽  
Vol 2 (1) ◽  
pp. 19-27
Author(s):  
Venugopal Reddy ◽  
◽  
P. Siddaiah ◽  
Keyword(s):  
Medical Images ◽  
Robust Watermarking

Comparative Study of Different Medical Images with Noise Based On Morphology

2012 ◽  
Vol 1 (2) ◽  
pp. 27-35 ◽  
Author(s):  
V. Kalpana ◽  
T. Surendra Nath ◽  
V. Vijaya Kishore
Keyword(s):  
Comparative Study ◽  
Medical Images
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