Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology

2014 IEEE International Conference on Image Processing, ICIP 2014

Volumn , Issue , 2014, Pages 2290-2294

  Wan, Tao ^a   Liu, Xu ^a   Chen, Jianhui ^b   Qin, Zengchang ^a  

^a BEIHANG UNIVERSITY   (China)

^b PLA No 91 Central Hospital   (China)

Author keywords

breast cancer histopathology; mitosis; multi resolution representation; wavelet transform

Indexed keywords

BIOPSY; CELLS; CLASSIFICATION (OF INFORMATION); CYTOLOGY; DISEASES; IMAGE PROCESSING; IMAGE SEGMENTATION; MEDICAL IMAGING; TISSUE; WAVELET ANALYSIS;

AREA UNDER THE CURVES; BREAST CANCER; CLASSIFICATION PERFORMANCE; DUAL TREE COMPLEX WAVELET TRANSFORM (DT-CWT); HISTOPATHOLOGICAL IMAGES; MITOSIS; MULTI RESOLUTION REPRESENTATION; SUPPORT VECTOR MACHINE CLASSIFIERS;

WAVELET TRANSFORMS;

EID: 84949929292     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2014.7025464     Document Type: Conference Paper

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