Ameliorated Fick’s law algorithm based multi-threshold medical image segmentation

Medical image segmentation is a critical and demanding step in medical image processing, which provides a solid foundation for subsequent medical image data extraction and analysis. Multi-threshold image segmentation, one of the most commonly used and specialized image segmentation techniques, limit...

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Veröffentlicht in:	The Artificial intelligence review Jg. 57; H. 11; S. 302
Hauptverfasser:	Hu, Gang, Zhao, Feng, Hussien, Abdelazim G., Zhong, Jingyu, Houssein, Essam H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.11.2024 Springer Springer Nature B.V
Schlagworte:	Accuracy Algorithms Artificial Intelligence Brain Cancer Colon cancer Color imagery Colorectal cancer Computer Science Convergence COVID-19 Data processing Diffusion Entropy Entropy (Information theory) Extraction Image processing Image segmentation Imagery Information dissemination Law Laws, regulations and rules Learning strategies Lung cancer Machine learning Medical imaging Medical imaging equipment Molecular diffusion Neighborhoods Optimization Segmentation Thresholds Multi-threshold image segmentation Cross entropy Optimal neighborhood learning Optimized sine cosine strategy Local minimum avoidance Medical image segmentation
ISSN:	1573-7462, 0269-2821, 1573-7462
Online-Zugang:	Volltext
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