An Imaging Method for Automated SkinLesion Segmentation using Statistical Analysis and Bit Plane Slicing

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

An Imaging Method for Automated SkinLesion Segmentation using Statistical Analysis and Bit Plane Slicing

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

An Imaging Method for Automated SkinLesion Segmentation using Statistical Analysis and Bit Plane Slicing

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Conference on "Computational Intelligence and Communication Technology"

ISBN

978-1-5386-0886-9

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

1-5

Název nakladatele

IEEE

Místo vydání

GHAZIABAD, India

Místo konání akce

GHAZIABAD

Datum konání akce

9. 2. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000450112300015