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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	The Artificial intelligence review Ročník 57; číslo 11; s. 302
Hlavní autoři:	Hu, Gang, Zhao, Feng, Hussien, Abdelazim G., Zhong, Jingyu, Houssein, Essam H.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Dordrecht Springer Netherlands 01.11.2024 Springer Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!