Biology Inspired Image Segmentation using Methods of Artificial Intelligence

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ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org

"Biology Inspired Image Segmentation using Methods of Artificial Intelligence"
written by Radim Burget, Vaclav Uher, Jan Masek,
published by Journal of Software Engineering and Applications, Vol.5 No.12B, 2012

has been cited by the following article(s):

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[2]	Applications of Artificial Intelligence and IoT in the Development of Sports Training Education Management
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[3]	Visualization of medical volume data based on improved k-means clustering and segmentation rules
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[5]	Analysis on the Application of Artificial Intelligence Technology in Modern Physical Education
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[6]	Technology in Modern Physical Education
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[7]	Yipai Jiang
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[8]	A Survey of Image Segmentation based on Artificial Intelligence and Evolutionary Approach
	V Jaiswal, A Tiwari - iosrjournals.org, 2013

[1]	A new image decomposition model based on DIP and RED Signal, Image and Video Processing, 2024 DOI:10.1007/s11760-024-03494-6

[2]	Applications of Artificial Intelligence and IoT in the Development of Sports Training Education Management Wireless Communications and Mobile Computing, 2022 DOI:10.1155/2022/1061461

[3]	Visualization of Medical Volume Data Based on Improved K-Means Clustering and Segmentation Rules IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3096790

[4]	A missing color area extraction approach from high-resolution statue images for cultural heritage documentation Scientific Reports, 2020 DOI:10.1038/s41598-020-78254-w

[5]	A missing color area extraction approach from high-resolution statue images for cultural heritage documentation Scientific Reports, 2020 DOI:10.1038/s41598-020-78254-w

[6]	Approaches of artificial intelligence in biomedical image processing: A leading tool between computer vision & biological vision 2016 International Conference on Advances in Computing, Communication, & Automation (ICACCA) (Spring), 2016 DOI:10.1109/ICACCA.2016.7578900

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