Automatic breast cancer diagnosis based on K-means clustering and adaptive thresholding hybrid segmentation

Advances in Intelligent and Soft Computing

Volumn 102, Issue , 2011, Pages 295-302

  Filipczuk, Paweł ^a   Kowal, Marek ^a   Obuchowicz, Andrzej ^a  

^a UNIVERSITY OF ZIELONA GÓRA   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE THRESHOLDING; BREAST CANCER DIAGNOSIS; COMPETITIVE NEURAL NETWORK; FINE NEEDLE BIOPSY; FUZZY C MEANS CLUSTERING; HYBRID SEGMENTATION; K-MEANS; K-MEANS ALGORITHM; K-MEANS CLUSTERING; MEDICAL IMAGES; MICROSCOPE IMAGES; QUALITY FEATURES; RED BLOOD CELL; RGB SPACE; THRESHOLDING;

ALGORITHMS; BIOPSY; BLOOD; DISEASES; FUZZY NEURAL NETWORKS; IMAGE PROCESSING;

MEDICAL IMAGING;

EID: 80052865396     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-23154-4_33     Document Type: Article

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