A new automatic image analysis method for assessing estrogen receptors' status in breast tissue specimens

Computers in Biology and Medicine

Volumn 43, Issue 12, 2013, Pages 2263-2277

  Mouelhi, Aymen ^a   Sayadi, Mounir ^a   Fnaiech, Farhat ^a   Mrad, Karima ^b   Ben Romdhane, Khaled ^b  

^a UNIVERSITY OF TUNIS   (Tunisia)

^b SALAH AZAIEZ INSTITUTE   (Tunisia)

Author keywords

Active contours; Breast tissue images; Cell recognition; Medical image analysis; Neural networks; Nuclear segmentation; Watersheds

Indexed keywords

ACTIVE CONTOURS; AUTOMATIC IMAGE ANALYSIS; BREAST TISSUES; CELL RECOGNITION; FISHER'S LINEAR DISCRIMINANT; GEOMETRIC ACTIVE CONTOURS; QUANTITATIVE ASSESSMENTS; SPATIAL FUZZY CLUSTERING;

DISCRIMINANT ANALYSIS; FUZZY CLUSTERING; IMAGE ANALYSIS; IMAGE SEGMENTATION; MEDICAL IMAGING; MULTILAYER NEURAL NETWORKS; NEURAL NETWORKS; TISSUE; WATERSHEDS;

TISSUE ENGINEERING;

ESTROGEN RECEPTOR; MEMBRANE PROTEIN;

ARTICLE; BREAST; BREAST CANCER; CELL NUCLEUS; IMAGE ANALYSIS; IMMUNOHISTOCHEMISTRY; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL;

ACTIVE CONTOURS; BREAST TISSUE IMAGES; CELL RECOGNITION; MEDICAL IMAGE ANALYSIS; NEURAL NETWORKS; NUCLEAR SEGMENTATION; WATERSHEDS;

ALGORITHMS; BREAST; BREAST NEOPLASMS; CELL NUCLEUS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMMUNOHISTOCHEMISTRY; NEOPLASM PROTEINS; RECEPTORS, ESTROGEN;

EID: 84887563313     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2013.10.018     Document Type: Article

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