Medical image analysis for cancer management in natural computing framework

Mitra, Sushmita; Shankar, B. Uma

doi:10.1016/j.ins.2015.02.015

Cited by 74 publications

(29 citation statements)

References 91 publications

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“… Medical Imaging: Natural computing provides a flexible, application-oriented solutions to current medical image analysis problems, particularly with reference to the applications involving malignancy of the brain, breast, prostate, skin, lung, and liver [8].  Bioinformatics: Natural computing provides several possibilities in bioinformatics.…”

Section: Applicationsmentioning

confidence: 99%

Natural Computing

Sadiku¹,

Tembely²,

Musa³

2018

IJARCSSE

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Abstract-Natural computing refers to the field that investigates both human-designed computing inspired by nature and computing taking place in nature. It is based on the premise that "nature computes." Due of its interdisciplinary nature, natural computing covers a spectrum of research areas including biology, chemistry, physics, computer science, and engineering. This paper provides a brief introduction to natural computing.

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Section: Applicationsmentioning

confidence: 99%

Natural Computing

Sadiku¹,

Tembely²,

Musa³

2018

IJARCSSE

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“…Initially, 1 k key is used to obtain the first cipher image 1 C . Further, another 2 k key is used to obtain the second cipher image 2 C .The percentage differences of the two keys are computed using eq.…”

Section: Key Sensitivity Analysismentioning

confidence: 99%

“…Medical diagnostics depend on modalitie such as, ultrasound, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET).The Medical images are stored and distributed over the internet or intranet for specific diagnostic purpose like feature extraction, image denoising, segmentation and compression in the arena of telemedicine [1].Telemedicine had benefits: restorative medical research, remote special clinical diagnosis, unexpected incidents handling in time, patient information on immediate demand, enhance the communication between partners in health care systems.…”

Section: Introductionmentioning

confidence: 99%

2D Chaotic Map Based on 2D Adaptive Grey Wolf Algorithm for Ultra Sound Medical Image Security

Koppu¹,

Madhu²

2017

IJIES

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Abstract:In this paper, we have proposed a chaos-based visual encryption method that can be applied to Ultra Sound Medical Images. We used adaptive Grey Wolf Optimization (GWO) to archive Ultra Sound Medical Image encryption. The robustness of the proposed image encryption are measured by various security attacks such as key sensitivity, histogram analysis, adjacent pixel autocorrelation, chi-square test, etc. Moreover, analytical outcomes are compared with the conventional algorithms like Genetic Algorithm (GA) and GWO. The experimental result shows that the proposed method is faster with low complexity.

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“…The mark sign of "√" is used to show where there exist tapped areas and the null shows that there is need for more attention from researchers. [75], [97], [113], [178], [197], [221], [222] [139], [152], [154], [156], [173], [208] [64], [93], [120], [131], [183] 5 Data mining [43], [65], [66], [116], [148], [160], [166], [188], [228] [74], [104], [123], [146], [206], [211] [35], [68], [103], [121], [142], [148], [161], [184], [186], [190], [216] 13…”

Section: Applications Of Soft Computingmentioning

confidence: 99%

A Holistic Review of Soft Computing Techniques

Philip¹,

Mom²,

Igwue³

2017

ACM

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Due to notable technological convergence that brought about exponential growth in computer world, SoftComputing (SC) has played a vital role with automation capability features to new levels of complex applications. In this research paper, the authors reviewed journals related to the subject matter with the aim of striking a convincing balance between a system that is capable of tolerance to uncertainty, imprecision, approximate reasoning and partial truth to achieve tractability, robustness, economy of communication, high machine intelligence quotient (MIQ), low cost solution and better rapport with reality to conventional techniques. This paper gives an insight on four major consortiums of SC that sprang from the concept of cybernetics, explores and reviews the different techniques, methodologies; application areas and algorithms are formulated to give an idea on how these computing techniques are applied to create intelligent agents to solve a variety of problems. The mechanisms highlighted can serve as an inspiration platform and awareness to new and old researchers that are not or fully grounded in this unique area of research and to create avenue in order to fully embrace the techniques in research communities.

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Medical image analysis for cancer management in natural computing framework

Cited by 74 publications

References 91 publications

Natural Computing

Natural Computing

2D Chaotic Map Based on 2D Adaptive Grey Wolf Algorithm for Ultra Sound Medical Image Security

A Holistic Review of Soft Computing Techniques

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