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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Bibliographic Details
Main Authors: Shelda Sajeev, Mariusz Bajger, Gobert Lee
Format: Article
Language:English
Published: Wiley 2018-09-01
Series:IET Computer Vision
Subjects:
superpixel texture analysis
breast masses
dense background
overlapped normal dense tissues
structured superpixel patterns
local binary pattern technique
Online Access:https://doi.org/10.1049/iet-cvi.2017.0586

Internet

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

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