LBP Features for Breast Cancer Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43930438" target="_blank" >RIV/49777513:23520/16:43930438 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICIP.2016.7532838" target="_blank" >http://dx.doi.org/10.1109/ICIP.2016.7532838</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICIP.2016.7532838" target="_blank" >10.1109/ICIP.2016.7532838</a>
Alternative languages
Result language
angličtina
Original language name
LBP Features for Breast Cancer Detection
Original language description
Cancer is nowadays considered as one of the most dangerous diseases in the world. Especially, breast cancer represents for women the second most common type of cancer and is a main cause of cancer dead. This paper presents a novel method for breast cancer detection from mammographic images based on Local Binary Patterns (LBP). This approach successfully uses LBP based features with a classifier and thresholding. The proposed method is evaluated on a set composed of images extracted from MIAS and DDSM databases. We have experimentally shown that the proposed method is efficient and effective because the achieved accuracy is about 84%.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 IEEE International Conference on Image Processing Proceedings
ISBN
978-1-4673-9961-6
ISSN
1522-4880
e-ISSN
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Number of pages
5
Pages from-to
2643-2647
Publisher name
IEEE
Place of publication
Piscataway
Event location
Phoenix Arizona
Event date
Sep 25, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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