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[PDF][PDF] Medical application using multi agent system-a literature survey
S Chakraborty, S Gupta - International Journal of Engineering …, 2014 - academia.edu
In this paper we have projected on the involvement of multi-agent system in medical or
health care domain. The objective of this study is to provide future researchers more …
health care domain. The objective of this study is to provide future researchers more …
Multi-agent medical image segmentation: A survey
During the last decades, the healthcare area has increasingly relied on medical imaging for
the diagnosis of a growing number of pathologies. The different types of medical images are …
the diagnosis of a growing number of pathologies. The different types of medical images are …
Artificial life for segmentation of fusion ultrasound images of breast abnormalities
Segmentation of cancerous tumors in ultrasound (US) images of human organs is one of the
critical problems in medical imaging. The US images are characterized by low contrast …
critical problems in medical imaging. The US images are characterized by low contrast …
A stochastic multi-agent approach for medical-image segmentation: application to tumor segmentation in brain MR images
According to functional or anatomical modalities, medical imaging provides a visual
representation of complex structures or activities in the human body. One of the most …
representation of complex structures or activities in the human body. One of the most …
Optimized control for medical image segmentation: improved multi-agent systems agreements using Particle Swarm Optimization
The optimal segmentation of medical images remains important for promoting the intensive
use of automatic approaches in decision making, disease diagnosis, and facilitating the …
use of automatic approaches in decision making, disease diagnosis, and facilitating the …
Particle method for segmentation of breast tumors in ultrasound images
We propose a new segmentation method based on multiple walking particles (WP)
bouncing from the image edges. The particles are able to segment objects characterized by …
bouncing from the image edges. The particles are able to segment objects characterized by …
State of the art and a new methodology based on multi-agent fuzzy system for concrete crack detection and type classification
M Payab, M Khanzadi - Archives of Computational Methods in …, 2021 - Springer
Routine inspection and automatic distress detection and classification are critical for civil
infrastructures such as bridges. The main subject of this paper is to provide brief review a …
infrastructures such as bridges. The main subject of this paper is to provide brief review a …
A fast and fully distributed method for region-based image segmentation: Fast distributed region-based image segmentation
Distributed and parallel computing techniques allow fast image processing, namely when
these techniques are applied at the low and the medium level of a vision system. In this …
these techniques are applied at the low and the medium level of a vision system. In this …
[PDF][PDF] Neural Network with Bee Colony Optimization for MRI Brain Cancer Image Classification.
S Subramaniam, M Radhakrishnan - International Arab Journal of …, 2016 - academia.edu
Brain tumor is one of the foremost causes for the increase in mortality among children and
adults. Computer visions are being used by doctors to analysis and diagnose the medical …
adults. Computer visions are being used by doctors to analysis and diagnose the medical …
The art and algorithms for segmentation of ultrasound images of breast cancer using artificial life
SS Makhanov - 2023 joint international conference on digital …, 2023 - ieeexplore.ieee.org
Segmentation of tumours in ultrasound (US) images of the breast is a critical problem in
medical imaging. Due to the poor quality of US images and varying specifications of the US …
medical imaging. Due to the poor quality of US images and varying specifications of the US …