Image mining for investigative pathology using optimized feature extraction and data fusion

Computer Methods and Programs in Biomedicine

Volumn 79, Issue 1, 2005, Pages 59-72

  Chen, Wenjin ^a   Meer, Peter ^c   Georgescu, Bogdan ^d   He, Wei ^a   Goodell, Lauri A ^b   Foran, David J ^a,b  

^a Center for Biomedical Imaging and Informatics   (United States)

^b UNIVERSITY OF MEDICINE AND DENTISTRY OF NEW JERSEY   (United States)

^c RUTGERS UNIVERSITY   (United States)

^d SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

Automated digital microscopy; Content based image retrieval; Data fusion; Texture analysis; Unsupervised cell imaging

Indexed keywords

DATABASE SYSTEMS; DIAGNOSIS; DIGITAL IMAGE STORAGE; DISEASES; FEATURE EXTRACTION; MICROSCOPIC EXAMINATION; OPTIMIZATION; TEXTURES; WORLD WIDE WEB;

DIAGNOSTIC DECISIONS; HISTOLOGICAL FEATURES; IMAGE GUIDED DECISION SUPPORT (IGDS) SYSTEM; IMAGE MINING;

PATHOLOGY;

ARTICLE; DATA BASE; DENSITY; DIAGNOSTIC IMAGING; EXTRACTION; HISTOLOGY; IMAGE ANALYSIS; IMAGING; LEUKEMIA; LYMPHOMA; MICROSCOPY; RELIABILITY; STATISTICAL SIGNIFICANCE;

DIAGNOSIS, DIFFERENTIAL; HUMANS; INFORMATION STORAGE AND RETRIEVAL; LEUKEMIA; LYMPHOMA; PATHOLOGY;

EID: 20444366905     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2005.03.006     Document Type: Article

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