An Image Processing Tool to Support Gestational Age Determination

Author

Silva, Luciano ; Bellon, Olga R P ; Lemes, Rd.P. ; Meira, Jorge A. ; Cat, Monica N L

Author_Institution

Departament of Comput. Sci., Univ. Fed. Parana, Curitiba

fYear

0

fDate

0-0 0

Firstpage

867

Lastpage

874

Abstract

The FootScanAge is a non-invasive, more accurate novel approach to automatically estimate the gestational age of newborns. This task is performed by the computational analysis of the features from the newborn plantar surface. The FootScanAge system is composed by two main tools: (1) image processing and (2) data mining. In this paper, we present the image processing tool that extract features of the plantar surface by applying image processing techniques developed to work on the footprint of the newborns, which present some singular characteristics. We included the results that support the determination of an adequate gestational age score by using the data mining tool

Keywords

data mining; feature extraction; medical image processing; FootScanAge system; computational analysis; data mining; feature extraction; gestational age determination; image processing tool; Biomedical imaging; Computer science; Data mining; Feature extraction; Image analysis; Image processing; Image quality; Java; Pediatrics; Software libraries;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on

Conference_Location

Salt Lake City, UT

ISSN

1063-7125

Print_ISBN

0-7695-2517-1

Type

conf

DOI

10.1109/CBMS.2006.38

Filename

1647679