EVALUATION OF CORRELATIONAL INFORMATION IN DIGITIZED CELL IMAGES | Zendy

Wayburn S. Jeter | Zendy; George B. Olson | Zendy; Peter H. Bartels | Zendy; G. F. Bahr | Zendy; John Taylor | Zendy; George L. Wied | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

EVALUATION OF CORRELATIONAL INFORMATION IN DIGITIZED CELL IMAGES

Author(s) -

Wayburn S. Jeter,

George B. Olson,

Peter H. Bartels,

G. F. Bahr,

John Taylor,

George L. Wied

Publication year - 1974

Publication title -

journal of histochemistry and cytochemistry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.971

H-Index - 124

eISSN - 1551-5044

pISSN - 0022-1554

DOI - 10.1177/22.2.69

Subject(s) - curse of dimensionality , covariance , covariance matrix , pattern recognition (psychology) , artificial intelligence , representation (politics) , image (mathematics) , image processing , set (abstract data type) , computer science , mutual information , digital image , digital image processing , computer vision , mathematics , statistics , algorithm , politics , political science , law , programming language

The processing of digitized cell images by computer may yield information not only about a set of cell image properties but also about their mutual dependencies. Observation of the covariance matrix of image properties of cellular material showing a response to chemotherapeutic treatment, ionizing radiation or antigenic challenge or following a developmental trend may permit a quantitative description of small trendal charges The covariance between certain cell image properties may show statistically significant changes before the mean values of the image properties are affected. Methods of reducing the dimensionality of the representation in an efficient manner are described.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research