Histopathological image analysis for centroblasts classification through dimensionality reduction approaches

Cytometry Part A

Volumn 85, Issue 3, 2014, Pages 242-255

  Kornaropoulos, Evgenios N ^a   Niazi, M Khalid Khan ^b   Lozanski, Gerard ^b   Gurcan, Metin N ^b  

^a INFORMATION TECHNOLOGIES INSTITUTE   (Greece)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

Dimensionality reduction; Follicular lymphoma; Intrinsic dimensionality; Laplacian Eigenmaps; LDA; SVD

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIMENSIONALITY REDUCTION; FOLLICULAR LYMPHOMA; HUMAN; IMAGE ENHANCEMENT; INTRINSIC DIMENSIONALITY; LAPLACIAN EIGENMAPS; LDA; METHODOLOGY; PATHOLOGY; STATISTICS; SVD;

DIMENSIONALITY REDUCTION; FOLLICULAR LYMPHOMA; INTRINSIC DIMENSIONALITY; LAPLACIAN EIGENMAPS; LDA; SVD;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LYMPHOMA, FOLLICULAR; PATTERN RECOGNITION, AUTOMATED; STATISTICS AS TOPIC;

EID: 84894154720     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.22432     Document Type: Article

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