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Minimum redundancy maximum relevance (mRMR) based feature selection from endoscopic images for automatic gastrointestinal polyp detection.
Mustain Billah
Sajjad Waheed
Published in:
Multim. Tools Appl. (2020)
Keyphrases
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minimum redundancy
feature selection
endoscopic images
polyp detection
ct colonography
fully automatic
region of interest
endoscopic video
machine learning
semi automatic
three dimensional
classification accuracy
support vector