Highly Robust Statistical Methods in Medical Image Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F12%3A00369205" target="_blank" >RIV/67985807:_____/12:00369205 - isvavai.cz</a>

Result on the web

<a href="http://www.ibib.waw.pl/bbe/bbefulltext/BBE_32_2_003_FT.pdf" target="_blank" >http://www.ibib.waw.pl/bbe/bbefulltext/BBE_32_2_003_FT.pdf</a>

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Highly Robust Statistical Methods in Medical Image Analysis

Original language description

Standard multivariate statistical methods in medical applications are too sensitive to the assumption of multivariate normality and the presence of outliers in the data. This paper is devoted to robust statistical methods. In the context of medical imageanalysis they allow to solve the tasks of face detection and face recognition in a database of images. The results of the robust approaches in image analysis turn out to outperform those obtained with standard methods. Robust methods also have desirableproperties appealing for practical applications, including dimension reduction and clear interpretability.

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

—

Project

<a href="/en/project/1M06014" target="_blank" >1M06014: Centre of Biomedical Informatics</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2012

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Biocybernetics and Biomedical Engineering

ISSN

0208-5216

e-ISSN

—

Volume of the periodical

32

Issue of the periodical within the volume

2

Country of publishing house

PL - POLAND

Number of pages

14

Pages from-to

3-16

UT code for WoS article

000305102200001

EID of the result in the Scopus database

—