A conclusion that summarizes the key features of multi-agent systems for medical image segmentation and suggest promising directions for future work. Abstract.
This paper presents a comparative study of the multi-agent approaches dedicated to the segmentation of medical images, recently published in the literature.
This paper presents a comparative study of the multi-agent approaches dedicated to the segmentation of medical images, recently published in the literature.
Highlights •A systematic review synthetizing published agent-based medical image segmentation works.•An introduction to the several domains of application ...
The major task of image segmentation is to divide a prescribed image into several nonoverlapping and disjoint regions according to characteristics such as color ...
Multi-agent medical image segmentation: A survey. https://doi.org/10.1016/j.cmpb.2023.107444 ·. Journal: Computer Methods and Programs in Biomedicine, 2023, p ...
A generic multi-agent framework for medical image segmentation is proposed based on a set of autonomous and interactive agents that use a modified region ...
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In this paper, we propose an approach for medical Image segmentation based on a FIPA compliant multi-agent system. The idea consists in merging the regions ...
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Oct 22, 2024 · The input image is divided into several sub-images, and each local agent works on a sub-image and tries to mark each pixel as a specific region ...
In this demo, we propose a generic multi-agent framework for medical image segmentation. This framework is based on a set of autonomous and interactive agents ...