Automatic image segmentation of nuclear stained breast tissue sections using color active contour model and an improved watershed method

Biomedical Signal Processing and Control

Volumn 8, Issue 5, 2013, Pages 421-436

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

^a UNIVERSITY OF TUNIS   (Tunisia)

^b SALAH AZAIEZ INSTITUTE   (Tunisia)

Author keywords

Active contours; Breast cancer; Graph theory; Medical image analysis; Nuclei segmentation; Watersheds

Indexed keywords

CLASSIFICATION (OF INFORMATION); COLOR IMAGE PROCESSING; DISEASES; GRAPH ALGORITHMS; GRAPH THEORY; IMAGE ENHANCEMENT; MEDICAL IMAGE PROCESSING; MEDICAL IMAGING; TISSUE; WATERSHEDS;

ACCURATE QUANTIFICATIONS; ACTIVE CONTOURS; AUTOMATIC IMAGE SEGMENTATION; BREAST CANCER; GEOMETRIC ACTIVE CONTOURS; MORPHOLOGICAL FEATURES; NUCLEI SEGMENTATION; SEGMENTATION ALGORITHMS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATION; BREAST; BREAST CANCER; BREAST CANCER CELL LINE; CANCER TISSUE; CELL NUCLEUS; CHEMICAL REACTION; CLASSIFIER; CONTROLLED STUDY; DATA BASE; HISTOPATHOLOGY; IMAGE ANALYSIS; IMAGE PROCESSING; MICROSCOPY; PATTERN RECOGNITION; PRIORITY JOURNAL; STAINING; SUPPORT VECTOR MACHINE; TISSUE SECTION;

EID: 85027954369     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2013.04.003     Document Type: Article

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