Automated segmentation of stromal tissue in histology images using a voting Bayesian model

Signal, Image and Video Processing

Volumn 7, Issue 6, 2013, Pages 1229-1237

  Hiary, Hazem ^a   Alomari, Raja S ^a,b   Saadah, Maha ^a   Chaudhary, Vipin ^b  

^a UNIVERSITY OF JORDAN   (Jordan)

^b UNIVERSITY AT BUFFALO   (United States)

Author keywords

Breast cancer prognosis; Computer aided diagnosis; Digital pathology; Image segmentation; Proliferation rate estimation

Indexed keywords

AUTOMATED SEGMENTATION; BREAST CANCER PROGNOSIS; CANCER DIAGNOSIS; CLINICAL DECISION; DIGITAL PATHOLOGIES; EPITHELIAL TISSUE; HISTOLOGY IMAGES; PROLIFERATION RATE;

BAYESIAN NETWORKS; COMPUTER AIDED DIAGNOSIS; HISTOLOGY; TISSUE;

IMAGE SEGMENTATION;

EID: 84885936958     PISSN: 18631703     EISSN: 18631711     Source Type: Journal    
DOI: 10.1007/s11760-012-0393-2     Document Type: Article

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