univariate feature ranking for classification using chi-square tests (MathWorks Inc)
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Univariate Feature Ranking For Classification Using Chi Square Tests, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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1) Product Images from "Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact"
Article Title: Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact
Journal: Scientific Reports
doi: 10.1038/s41598-024-82915-5
Figure Legend Snippet: ( a ) Scores for the features calculated through univariate feature ranking using chi-square tests. The feature value distributions for M3M-IAC contact (Label 1) and non-contact (Label 0) cases for ( b ) darkening of the roots, ( c ) interruption of the radiopaque line of the IAC, ( d ) deflection of the IAC, and ( e ) narrowing of the IAC.
Techniques Used: