Alzheimer biomarkers esteem by sampling Kantorovich algorithm

DOI10.1002/MMA.9268zbMath1528.92022OpenAlexW4367053378MaRDI QIDQ6137326

Danilo Costarelli, Gianluca Vinti, Unnamed Author, M. Seracini

Publication date: 18 January 2024

Published in: Mathematical Methods in the Applied Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/mma.9268

zbMATH Keywords

image processingPSNRAlzheimer biomarkerssampling Kantorovich algorithmstereological Cavalieri/point-counting technique

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Medical applications (general) (92C50) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Mathematical modeling or simulation for problems pertaining to biology (92-10)

Cites Work

• On approximation properties of generalized Kantorovich-type sampling operators
• Inverse results of approximation and the saturation order for the sampling Kantorovich series
• Approximation properties of the sampling Kantorovich operators: regularization, saturation, inverse results and Favard classes in \(L^p\)-spaces
• A comparison between the sampling Kantorovich algorithm for digital image processing with some interpolation and quasi-interpolation methods
• Detection of thermal bridges from thermographic images by means of image processing approximation algorithms
• A segmentation procedure of the pervious area of the aorta artery from CT images without contrast medium
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