Multivariate Technique for Detecting Variations in High-Dimensional Imagery

Multivariate Technique for Detecting Variations in High-Dimensional Imagery

<p dir="ltr">The field of immunology requires refined techniques to identify detailed cellular variance in high-dimensional images. Current methods mainly capture general immune cell proportion variations and often overlook specific deviations in individual patient samples from group...

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Bibliographic Details
Main Author: Ridwan A. Sanusi (12394171) (author)
Other Authors: Jimoh Olawale Ajadi (15195955) (author), Saddam Akber Abbasi (7908302) (author), Taofik O. Dauda (21840350) (author), Nurudeen A. Adegoke (11763932) (author)
Published: 2024
Subjects:
Biological sciences
Bioinformatics and computational biology
Biomedical and clinical sciences
Immunology
Information and computing sciences
Machine learning
Dimensionality reduction
high-dimension data
image monitoring
multivariate Shewhart control chart
quality control in healthcare
random projection methods
Immune system
Sparse matrices
Monitoring
Medical services
Vectors
Control charts
Quality control
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