Emerging Applications of Bio-Inspired Algorithms in Image Segmentation

Marie-Sainte, Souad Larabi; Alskireen, Reham; Alhalawani, Sawsan

doi:10.3390/electronics10243116

Cited by 12 publications

(8 citation statements)

References 86 publications

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“…We use RSA to provide optimal parameters for machine learning models in privacy-preserving and social networks in practical applications. Furthermore, the proposed LICRSA algorithm may also have excellent application potency in solving other complex optimization problems, such as shop scheduling problems [70], optimal degree reduction [71], image segmentation [72], shape optimization [73], and feature selection [74], etc.…”

Section: Discussionmentioning

confidence: 99%

An Improved Reptile Search Algorithm Based on Lévy Flight and Interactive Crossover Strategy to Engineering Application

et al. 2022

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In this paper, we propose a reptile search algorithm based on Lévy flight and interactive crossover strategy (LICRSA), and the improved algorithm is employed to improve the problems of poor convergence accuracy and slow iteration speed of the reptile search algorithm. First, the proposed algorithm increases the variety and flexibility of the people by introducing the Lévy flight strategy to prevent premature convergence and improve the robustness of the population. Secondly, an iteration-based interactive crossover strategy is proposed, inspired by the crossover operator and the difference operator. This strategy is applied to the reptile search algorithm (RSA), and the convergence accuracy of the algorithm is significantly improved. Finally, the improved algorithm is extensively tested using 2 test sets: 23 benchmark test functions and 10 CEC2020 functions, and 5 complex mechanical engineering optimization problems. The numerical results show that LICRSA outperforms RSA in 15 (65%) and 10 (100%) of the 2 test sets, respectively. In addition, LICRSA performs best in 10 (43%) and 4 (40%) among all algorithms. Meanwhile, the enhanced algorithm shows superiority and stability in handling engineering optimization.

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Section: Discussionmentioning

confidence: 99%

An Improved Reptile Search Algorithm Based on Lévy Flight and Interactive Crossover Strategy to Engineering Application

et al. 2022

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“…Image post-processing is used to correct these flaws and generate the final segmented image. There are a variety of segmentation strategies available, each with its own set of outcomes [12] Fig [1].…”

Section: Algorithms For Image Segmentation Go Through Several Stagesmentioning

confidence: 99%

“…Bio-inspired algorithms are methods for solving complex problems that are based on the biological systems of particular species [19]. Numerous bio-inspired algorithms are employed to enhance image segmentation, and they have shown to be successful.…”

Section: Bio-inspired Algorithmsmentioning

confidence: 99%

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Image segmentation-based optimization algorithms: A Review

Mohamed

Mahmoud²,

Hemeida³

2022

Aswan University Journal of Sciences and Technology

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Image segmentation is the division of a digital image into multiple subgroups of pixels known as Image Objects. This procedure can minimize the complexity of the image, making image analysis easier. Image Segmentation is one of the most crucial areas in computer vision and one of the oldest research questions. There are many useful applications of image processing such as image sharpening, blurring, grayscale conversion, and edges detection that can be utilized in different domains. Digital image processing employing neural networks has gained popularity recently because of the expansion of artificial intelligence algorithms and its ecosystem. It can be used in a wide range of industries, including security, banks, the military, agriculture, law enforcement, manufacturing, and medicine.

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“…Moreover, machine learning can assist doctors in examining patients using digitalized diagnostic information, such as detecting lung, breast, skin cancer, or any other type of cancer disease [6,7]. It has also helped in assessing the risk of sudden cardiac death and other heart diseases based on electrocardiograms and cardiac MRI images [8,9], and medical image classification [10,11]. AI is further proven to have found indicators of diabetic retinopathy in eye images [12].…”

Section: -Introductionmentioning

confidence: 99%

Artificial Intelligence Applications in Healthcare Sector: Ethical and Legal Challenges

2022

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Recently, artificial intelligence (AI) has been one of the hottest topics in the technological world. Although it is involved in many domains, it was recently involved in the healthcare sector. AI can be used for diagnostics, drug development, treatment personalization, gene editing, disease prediction, and many more. It helps to improve healthcare services by benefiting medical professionals, hospitals, and patients. Saudi Arabia has a particular interest in the healthcare sector, and it has a clear vision for the future, which points toward the development of AI-based technologies. Few studies investigated the use of AI in Saudi healthcare, and most of them focused on healthcare employees' perceptions. This study is beyond the focus of the existing works. It aims at: 1) presenting the main AI-based healthcare applications; 2) exploring the use of AI in the Saudi healthcare sector; 3) addressing their ethical and legal challenges, along with the policy questions in Saudi healthcare; 4) studying the benefits of these AI-based applications and the acceptance of professionals to use AI in daily practice; 5) introducing the new Personal Data Protection Law (PDPL) in Saudi Arabia; and 6) discussing the importance of AI to the future of Saudi healthcare. To this purpose, a survey was distributed among four main Saudi hospitals. The findings showed that AI should not only lead to better health but also save manpower and simplify the healthcare processes. The respondents agreed that AI helps reflect human intellectual competencies and pushes its limits. Doi: 10.28991/ESJ-2022-06-04-05 Full Text: PDF

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Emerging Applications of Bio-Inspired Algorithms in Image Segmentation

Cited by 12 publications

References 86 publications

An Improved Reptile Search Algorithm Based on Lévy Flight and Interactive Crossover Strategy to Engineering Application

An Improved Reptile Search Algorithm Based on Lévy Flight and Interactive Crossover Strategy to Engineering Application

Image segmentation-based optimization algorithms: A Review

Artificial Intelligence Applications in Healthcare Sector: Ethical and Legal Challenges

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