Multispectral band selection and spatial characterization: Application to mitosis detection in breast cancer histopathology

Computerized Medical Imaging and Graphics

Volumn 38, Issue 5, 2014, Pages 390-402

  Irshad, H ^a,c   Gouaillard, A ^d,e   Roux, L ^a,c   Racoceanu, D ^b,c  

^a UNIV GRENOBLE ALPES   (France)

^b SORBONNE UNIVERSITÉ   (France)

^c French National Center for Scientific Research   (Singapore)

^d CoSMo Software ^*  (United States)

^e Temasys Communications ^*  (Singapore)

Author keywords

Breast cancer; Classification; Features extraction; Histopathology; Multispectral images; Object detection; Spectral bands selection; Texture characterization

Indexed keywords

CLASSIFICATION (OF INFORMATION); DIAGNOSIS; DISEASES; GRADING;

BREAST CANCER; FEATURES EXTRACTION; HISTOPATHOLOGY; MULTISPECTRAL IMAGES; OBJECT DETECTION; SPECTRAL BAND; TEXTURE CHARACTERIZATIONS;

MEDICAL IMAGING;

ARTICLE; BREAST CANCER; CANCER CLASSIFICATION; CANCER PROGNOSIS; CONCEPTUAL FRAMEWORK; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; HISTOPATHOLOGY; HUMAN; MITOSIS; MULTISPECTRAL IMAGING; PRIORITY JOURNAL; RADIOGRAPHY; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; DIAGNOSTIC IMAGING; FEMALE; PATHOLOGY; PATHOPHYSIOLOGY; PROCEDURES;

ALGORITHMS; BREAST NEOPLASMS; DIAGNOSTIC IMAGING; FEMALE; HUMANS; MITOSIS; PATTERN RECOGNITION, AUTOMATED;

EID: 84902107127     PISSN: 08956111     EISSN: 18790771     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2014.04.003     Document Type: Article

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