PMID- 23193305
OWN - NLM
STAT- MEDLINE
DCOM- 20131202
LR  - 20130326
IS  - 1558-2531 (Electronic)
IS  - 0018-9294 (Linking)
VI  - 60
IP  - 4
DP  - 2013 Apr
TI  - Segmentation of dermoscopy images using wavelet networks.
PG  - 1134-41
LID - 10.1109/TBME.2012.2227478 [doi]
AB  - This paper introduces a new approach for the segmentation of skin lesions in 
      dermoscopic images based on wavelet network (WN). The WN presented here is a 
      member of fixed-grid WNs that is formed with no need of training. In this WN, 
      after formation of wavelet lattice, determining shift and scale parameters of 
      wavelets with two screening stage and selecting effective wavelets, orthogonal 
      least squares algorithm is used to calculate the network weights and to optimize 
      the network structure. The existence of two stages of screening increases 
      globality of the wavelet lattice and provides a better estimation of the function 
      especially for larger scales. R, G, and B values of a dermoscopy image are 
      considered as the network inputs and the network structure formation. Then, the 
      image is segmented and the skin lesions exact boundary is determined accordingly. 
      The segmentation algorithm were applied to 30 dermoscopic images and evaluated 
      with 11 different metrics, using the segmentation result obtained by a skilled 
      pathologist as the ground truth. Experimental results show that our method acts 
      more effectively in comparison with some modern techniques that have been 
      successfully used in many medical imaging problems.
FAU - Sadri, Amir Reza
AU  - Sadri AR
AD  - Department of Electrical and Computer Engineering, Isfahan University of 
      Technology, Isfahan, Iran. ar.sadri@ec.iut.ac.ir
FAU - Zekri, Maryam
AU  - Zekri M
FAU - Sadri, Saeed
AU  - Sadri S
FAU - Gheissari, Niloofar
AU  - Gheissari N
FAU - Mokhtari, Mojgan
AU  - Mokhtari M
FAU - Kolahdouzan, Farzaneh
AU  - Kolahdouzan F
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20121115
PL  - United States
TA  - IEEE Trans Biomed Eng
JT  - IEEE transactions on bio-medical engineering
JID - 0012737
SB  - IM
MH  - Algorithms
MH  - Databases, Factual
MH  - Dermoscopy/*methods
MH  - Humans
MH  - Image Interpretation, Computer-Assisted/*methods
MH  - Least-Squares Analysis
MH  - Melanoma/diagnosis/pathology
MH  - *Wavelet Analysis
EDAT- 2012/11/30 06:00
MHDA- 2013/12/16 06:00
CRDT- 2012/11/30 06:00
PHST- 2012/11/30 06:00 [entrez]
PHST- 2012/11/30 06:00 [pubmed]
PHST- 2013/12/16 06:00 [medline]
AID - 10.1109/TBME.2012.2227478 [doi]
PST - ppublish
SO  - IEEE Trans Biomed Eng. 2013 Apr;60(4):1134-41. doi: 10.1109/TBME.2012.2227478. 
      Epub 2012 Nov 15.