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Tag: calcul inspirat de natura
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A Transfer Learning Approach on the Optimization of Edge Detectors for Medical Images Using Particle Swarm Optimization (2021)
Abstract Edge detection is a fundamental image analysis task, as it provides insight on the content of an image. There are weaknesses in some of the edge detectors developed until […]
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Butterfly Effect in Chaotic Image Segmentation (2020)
Abstract The exploitation of the important features exhibited by the complex systems found in the surrounding natural and artificial space will improve computational model performance. Therefore, the purpose of the […]
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Towards feature selection for digital mammogram classification (2021)
Abstract The most common cancer type amongst women is the breast cancer with a large number of cases reported each year, many of them diagnosed in an advanced phase. In […]
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Extended region growing algorithm for whole heart segmentation from cardiac MRI images (2019)
Abstract We aimed to assess the reliability of an automatic solution for whole-heart segmentation of MRI images of patients with atrial fibrillation (AF). We propose a semi-interactive image segmentation algorithm […]
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Artificial intelligence meets software engineering in the classroom (2019)
Abstract We aimed to assess the reliability of teaching Artificial Intelligencefor Software Engineering master students. We propose a semi-interactive course where the students have to develop applications for solving real […]
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Particle Swarm Optimization of Cellular Automata Rules for Edge Detection (2019)
Abstract Cellular automata have been widely used for solving the edge detection problem. This paper proposes an algorithm which optimizes cellular automata rules using Particle Swarm Optimization based on an […]
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Autonomous image segmentation by Competitive Unsupervised GrowCut (2019)
Abstract In this paper, we introduce Competitive Unsupervised GrowCut, a cellular automata-based, unsupervised and autonomous algorithm that combines the label merging component of Unsupervised GrowCut with the soft label propagation […]
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A four-phase meta-heuristic algorithm for solving large scale instances of the Shift minimization personnel task scheduling problem (2018)
Abstract The Shift minimization personnel task scheduling problem (SMPTSP) is a known NP-hard problem. The present paper introduces a novel four-phase meta-heuristic approach for solving the Shift minimization personnel task […]
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Unsupervised and Fully Autonomous 3D Medical Image Segmentation based on Grow Cut (2018)
Abstract Extending and optimizing cellular automata to handle 3D volume segmentation is a non-trivial task. First, it does not suffice to simply alter the cell neighborhood (be it von Neumann […]
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Evolving Cellular Automata for Two stage Edge Detection (2018)
Abstract This paper presents an edge detection method based on Cellular Automata where the rules are evolved to optimize the edge detection in binary images. This method divides the edge […]
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