Litcius/Paper detail

Minimum redundancy maximum relevance (mRMR) based feature selection from endoscopic images for automatic gastrointestinal polyp detection

Mustain Billah, Sajjad Waheed

2020Multimedia Tools and Applications41 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceFeature selectionPattern recognition (psychology)Support vector machineConvolutional neural networkRedundancy (engineering)Classifier (UML)Mutual informationOperating systemColorectal Cancer Screening and DetectionGastrointestinal Bleeding Diagnosis and TreatmentImage Retrieval and Classification Techniques
Minimum redundancy maximum relevance (mRMR) based feature selection from endoscopic images for automatic gastrointestinal polyp detection | Litcius