The IoT and registration of MRI brain diagnosis based on genetic algorithm and convolutional neural network

Ahmed, Ahmed Shihab; Salah, Hussein Ali

doi:10.11591/ijeecs.v25.i1.pp273-280

Cited by 4 publications

(3 citation statements)

References 40 publications

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“…With the goal of increasing the capture range of active contours, the contour flow model was developed [18]. This model is computed as a diffusion of the gradient vectors generated by the image.…”

Section: Develop a Contour Modelmentioning

confidence: 99%

An improvised coral reef optimization-based image registration using modified mutual information method

Samantaray

Panigrahi

Patra

2023

IJEECS

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Computer visualisation and medical applications require image registration. It includes transforming collective picture data into the familiar coordinate scheme. Metaheuristic-based methods were developed to explain the issue and improve the efficiency and accuracy of conventional image registration techniques due to their limitations. We describe a hybrid medical image registration technique using bio-inspired meta-heuristic algorithms: Betteroffspring and multi-crossover strategies increase convergent time and solution quality with an improvised coral reef optimization with modified mutual information (ICOR-MMI) algorithm. This new optimization method (ICORMMI) proposes that coral reefs expand, compete for space, and reproduce. A linear weighted sum of image intensity and contour flow model intensity is added to the mutual information calculation. Including statistical and spatial image data improves image registration. The established technique has been tested and verified using multiple medical image data sets, some of which contain single-modality and mixed-modality images (CT, MRI). The registration validates the proposed model's accuracy and efficiency and shows posture's contribution by incorporating statistical and geographical image data. This strategy is adapted to the real-coding problem and tested for realtime issues. The ICOR-MMI algorithm-based hybrid approach outperforms current results in time efficiency and toughness.

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Section: Develop a Contour Modelmentioning

confidence: 99%

An improvised coral reef optimization-based image registration using modified mutual information method

Samantaray

Panigrahi

Patra

2023

IJEECS

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“…This model provided connectivity between the authorized user and the cloud environment. Ahmed et al [24] proposed an automatic IoT system for the detection and classification of brain MRI on the basis of DL and Arduino global system of mobile communication (GSM). The regression principle was applied to the MRI data through the adoption of a genetic algorithm.…”

Section: Related Workmentioning

confidence: 99%

Iot Based Alzheimer’s Disease Diagnosis Model for Providing Security Using Light Weight Hybrid Cryptography

Yalamanchili,

Venkatasekhar,

Kumar

2023

IJRITCC

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Security in the Internet of things (IoT) is a broad yet active research area that focuses on securing the sensitive data being circulated in the network. The data involved in the IoT network comes from various organizations, hospitals, etc., that require a higher range of security from attacks and breaches. The common solution for security attacks is using traditional cryptographic algorithms that can protect the content through encryption and decryption operations. The existing solutions are suffering from major drawbacks, including computational complexities, time and space complexities, slower encryption, etc. Therefore, to overcome such drawbacks, this paper introduces an efficient light weight cryptographic mechanism to secure the images of Alzheimer’s disease (AD) being transmitted in the network. The mechanism involves major stages such as edge detection, key generation, encryption, and decryption. In the case of edge detection, the edge maps are detected using the Prewitt edge detection technique. Then the hybrid elliptic curve cryptography (HECC) algorithm is proposed to encrypt and secure the images being transmitted in the network. For encryption, the HECC algorithm combines blowfish with the elliptic curve algorithm to attain a higher range of security. Another significant advantage of the proposed method is selecting the ideal private key, which is achieved using the enhanced seagull optimization (ESO) algorithm. The proposed work has been tested in the Python tool, and the performance is evaluated with the Alzheimer’s dataset, and the outcomes proved its efficacy over the compared methods.

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“…IoT is especially common in industrial, transportation, and utility companies that use sensors and other IoT devices. It has, however, discovered application cases for firms in the home automation, agricultural and infrastructure sectors, driving some to digital evolution [66], [91], [98], [100], [166]- [170].…”

Section: Applications and Benefitsmentioning

confidence: 99%

Insights on the internet of things: past, present, and future directions

Sutikno

Thalmann

2022

TELKOMNIKA

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The internet of things (IoT) is rapidly expanding and improving operations in a wide range of real-world applications, from consumer IoT and enterprise IoT to manufacturing and industrial IoT (IIoT). Consumer markets, wearable devices, healthcare, smart buildings, agriculture, and smart cities are just a few examples. This paper discusses the current state of the IoT ecosystem, its primary applications and benefits, important architectural stages, some of the problems and challenges it faces, and its future. This paper explains how an appropriate IoT architecture that saves data, analyzes it, and recommends corrective action improves the process's ground reality. The IoT system architecture is divided into three layers: device, gateway, and platform. This then cascades into the four stages of the IoT architectural layout: sensors and actuators; gateways and data acquisition systems; edge IT data processing; and datacenter and cloud, which use high-end apps to collect data, evaluate it, process it, and provide remedial solutions. This elegant combination provides excellent value in automatic action. In the future, IoT will continue to serve as the foundation for many technologies. Machine learning will become more popular in the coming years as IoT networks take center stage in a variety of industries.

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The IoT and registration of MRI brain diagnosis based on genetic algorithm and convolutional neural network

Cited by 4 publications

References 40 publications

An improvised coral reef optimization-based image registration using modified mutual information method

An improvised coral reef optimization-based image registration using modified mutual information method

Iot Based Alzheimer’s Disease Diagnosis Model for Providing Security Using Light Weight Hybrid Cryptography

Insights on the internet of things: past, present, and future directions

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