An Imaging Method for Automated SkinLesion Segmentation using Statistical Analysis and Bit Plane Slicing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU129294" target="_blank" >RIV/00216305:26220/18:PU129294 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CIACT.2018.8480175" target="_blank" >http://dx.doi.org/10.1109/CIACT.2018.8480175</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CIACT.2018.8480175" target="_blank" >10.1109/CIACT.2018.8480175</a>
Alternative languages
Result language
angličtina
Original language name
An Imaging Method for Automated SkinLesion Segmentation using Statistical Analysis and Bit Plane Slicing
Original language description
Melanoma can prove fatal if not diagnosed at early stage. Computer aided identification of diseases can equip normal people in performing a screening test of diseases. The accurate lesion segmentation plays a crucial role in correct diagnosis of skin diseases. This work proposes a skin lesion segmentation method using statistical analysis and bit plane slicing. Hole filling operation 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 available with the database. The results arepresented in form of overlapping score and correlation coefficient. An average overlapping score and correlation coefficient of 91.59% and 92.07%, respectively, is obtained from the proposed algorithm. Also, an image based performance analysis of segmented lesion has been done and an average sensitivity of 94.33% has been achieved. The results are convincing and suggests that the proposed work can be used for some real-time application.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
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 "Computational Intelligence and Communication Technology"
ISBN
978-1-5386-0886-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
IEEE
Place of publication
GHAZIABAD, India
Event location
GHAZIABAD
Event date
Feb 9, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000450112300015