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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Bibliographic Details
Published in:	The Artificial intelligence review Vol. 57; no. 11; p. 302
Main Authors:	Hu, Gang, Zhao, Feng, Hussien, Abdelazim G., Zhong, Jingyu, Houssein, Essam H.
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.11.2024 Springer Springer Nature B.V
Subjects:	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 Access:	Get full text
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