Thermogram breast cancer prediction approach based on Neutrosophic sets and fuzzy c-means algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096564" target="_blank" >RIV/61989100:27240/15:86096564 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7319334" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7319334</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EMBC.2015.7319334" target="_blank" >10.1109/EMBC.2015.7319334</a>
Alternative languages
Result language
angličtina
Original language name
Thermogram breast cancer prediction approach based on Neutrosophic sets and fuzzy c-means algorithm
Original language description
The early detection of breast cancer makes many women survive. In this paper, a CAD system classifying breast cancer thermograms to normal and abnormal is proposed. This approach consists of two main phases: automatic segmentation and classification. Forthe former phase, an improved segmentation approach based on both Neutrosophic sets (NS) and optimized Fast Fuzzy c-mean (F-FCM) algorithm was proposed. Also, post-segmentation process was suggested to segment breast parenchyma (i.e. ROI) from thermogram images. For the classification, different kernel functions of the Support Vector Machine (SVM) were used to classify breast parenchyma into normal or abnormal cases. Using benchmark database, the proposed CAD system was evaluated based on precision, recall, and accuracy as well as a comparison with related work. The experimental results showed that our system would be a very promising step toward automatic diagnosis of breast cancer using thermograms as the accuracy reached 100%. (C) 2
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Volume 2015-November
ISBN
978-1-4244-9271-8
ISSN
1557-170X
e-ISSN
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Number of pages
4
Pages from-to
4254-4257
Publisher name
IEEE
Place of publication
New York
Event location
Miláno
Event date
Aug 25, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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