Automated Histology Analysis: Opportunities for signal processing

IEEE Signal Processing Magazine

Volumn 32, Issue 1, 2015, Pages 78-87

  McCann, Michael T ^a   Ozolek, John A ^b,c   Castro, Carlos A ^f   Parvin, Bahram ^d,e   Kovačević, Jelena ^f,g  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^c CHILDREN S HOSPITAL OF PITTSBURGH   (United States)

^d LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^e University of Nevada   (United States)

^f Department of Electrical and Computer Engineering ^*

^g Center for Bioimage Informatics   (United States)

Author keywords

Biological tissues; Biomedical imaging; Biomedical signal processing; Biopsy; Histology; Image analysis; Image color analysis; Microscopy; Signal processing; Visualization

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; BIOPSY; DIAGNOSIS; FLOW VISUALIZATION; HISTOLOGY; IMAGE ANALYSIS; MEDICAL IMAGING; MICROSCOPIC EXAMINATION; PLANTS (BOTANY); TISSUE;

BIOLOGICAL TISSUES; BIOMEDICAL IMAGING; CRITICAL COMPONENT; IMAGE ANALYSIS METHOD; IMAGE COLOR ANALYSIS; ROUTINE ANALYSIS; TISSUE PROCESSING; WHOLE SLIDE IMAGES;

SIGNAL PROCESSING;

EID: 85032752055     PISSN: 10535888     EISSN: None     Source Type: Journal    
DOI: 10.1109/MSP.2014.2346443     Document Type: Review

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