Automated skin lesion segmentation using K-Means clustering from digital dermoscopic images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU125378" target="_blank" >RIV/00216305:26220/17:PU125378 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/8076087/" target="_blank" >http://ieeexplore.ieee.org/document/8076087/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2017.8076087" target="_blank" >10.1109/TSP.2017.8076087</a>
Alternative languages
Result language
angličtina
Original language name
Automated skin lesion segmentation using K-Means clustering from digital dermoscopic images
Original language description
Melanoma can prove fatal if not diagnosed at early stage. The accuracy of identification of skin cancer from dermoscopic images is directly proportional to the accuracy of the skin lesion segmentation. This work proposes a skin lesion segmentation method using clustering technique. The use of smoothing filter and area thresholding is competent enough to sufficiently reject the noisy pixels from the finally segmented image. The results of skin lesion segmentation obtained from the proposed algorithm has been compared with the annotated images. The results have been expressed in the form of overlapping score and correlation coefficient. The maximum values of overlapping score and correlation coefficient obtained from the algorithm are 96.75% and 97.66% respectively. The results are convincing and suggests that the proposed work can be used for some real time application.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference on Telecommunications and Signal Processing (TSP)
ISBN
978-1-5090-3982-1
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
743-748
Publisher name
IEEE
Place of publication
Barcelona, Španělsko
Event location
Barcelona
Event date
Jul 5, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000425229000158