Histopathological image analysis using model-based intermediate representations and color texture: Follicular lymphoma grading

Journal of Signal Processing Systems

Volumn 55, Issue 1-3, 2009, Pages 169-183

  Sertel, Olcay ^a,b   Kong, Jun ^a,b   Catalyurek, Umit V ^a,b   Lozanski, Gerard ^b   Saltz, Joel H ^c   Gurcan, Metin N ^c  

^a The Ohio State University   (United States)

^b OHIO STATE UNIVERSITY   (United States)

^c NONE

Author keywords

Color texture analysis; Follicular lymphoma; Histopathological image analysis; Model based intermediate representation

Indexed keywords

CLASSIFICATION ACCURACIES; COLOR TEXTURE ANALYSIS; COLOR TEXTURES; COMBINED FEATURES; COMPUTER-ASSISTED SYSTEMS; FOLLICULAR LYMPHOMA; HISTOPATHOLOGICAL IMAGE ANALYSIS; LOW LEVELS; LYMPHOID MALIGNANCIES; MANUAL METHODS; MODEL-BASED INTERMEDIATE REPRESENTATION; PIXEL LEVELS; QUANTITATIVE ASSESSMENTS; READER VARIABILITIES; REPRODUCIBILITY; RISK STRATIFICATIONS; SEMANTIC DESCRIPTIONS; STATISTICAL FRAMEWORKS; TEXTURE ANALYSIS; TEXTURE FEATURES; TISSUE SECTIONS; WORLD HEALTH ORGANIZATIONS;

COLOR; HEALTH RISKS; IMAGE ANALYSIS; INFORMATION THEORY;

TEXTURES;

EID: 62349141165     PISSN: 19398018     EISSN: 19398115     Source Type: Journal    
DOI: 10.1007/s11265-008-0201-y     Document Type: Article

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