Superpixel texture analysis for classification of breast masses in dense background

Superpixel texture analysis for classification of breast masses in dense background

Finding masses in dense background is a difficult task for even experienced radiologist. It is due to the similarity of intensity between the masses and the overlapped normal dense tissues. A novel method for classification of masses localised in dense background of breast is proposed. Nine structur...

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Hlavní autoři: Shelda Sajeev, Mariusz Bajger, Gobert Lee
Médium: Článek
Jazyk:English
Vydáno: Wiley 2018-09-01
Edice:IET Computer Vision
Témata:
superpixel texture analysis
breast masses
dense background
overlapped normal dense tissues
structured superpixel patterns
local binary pattern technique
On-line přístup:https://doi.org/10.1049/iet-cvi.2017.0586

Internet

https://doi.org/10.1049/iet-cvi.2017.0586

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