eprintid: 619
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/06/19
datestamp: 2023-11-09 15:48:46
lastmod: 2023-11-09 15:48:46
status_changed: 2023-11-09 15:22:49
type: article
metadata_visibility: show
creators_name: Ahmad Fadzil, M.H.
creators_name: Fitriyah, H.
creators_name: Prakasa, E.
creators_name: Nugroho, H.
creators_name: Hussein, S.H.
creators_name: Mohd. Affandi, A.
title: Thickness characterization of 3D skin surface images using reference line construction approach
ispublished: pub
keywords: 3-D image; Clinical trial; Dermatological disease; Moving average filter; Objective measurement; Reference line construction; Reference lines; Skin lesion; Skin surfaces; Thickness characterization, Growth kinetics; Research, Three dimensional
note: cited By 2; Conference of 1st International Visual Informatics Conference, IVIC 2009 ; Conference Date: 11 November 2009 Through 13 November 2009; Conference Code:79347
abstract: Irregular elevation is commonly formed in skin surface during dermatological diseases. Thickness is one of the parameters to assess the severity. In this research, the thickness is defined as the elevation of lesion surface from its constructed reference line which is generated by smoothing the lesion surface using moving average filter. This method is applied in dermatological disease which caused by disorder cell growth. In the clinical trial, Dermatologist classifies the thickness severity into 4 classes. The classes are divided by its thickness appearance. Dermatologist assesses 40 3D images of skin lesion taken from 16 patients. The quantitative and objective measurement of the lesions performed in this research has characterized the thickness range of each class as well as met the doctor's thickness classification. © 2009 Springer-Verlag.
date: 2009
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-76549111474&doi=10.1007%2f978-3-642-05036-7_42&partnerID=40&md5=2fccef49506ed04a1f48b0d84a254d76
id_number: 10.1007/978-3-642-05036-7₄₂
full_text_status: none
publication: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
volume: 5857 L
place_of_pub: Kuala Lumpur
pagerange: 448-454
refereed: TRUE
isbn: 3642050352; 9783642050350
issn: 03029743
citation:   Ahmad Fadzil, M.H. and Fitriyah, H. and Prakasa, E. and Nugroho, H. and Hussein, S.H. and Mohd. Affandi, A.  (2009) Thickness characterization of 3D skin surface images using reference line construction approach.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5857 L.  pp. 448-454.  ISSN 03029743