title: Cell words: modelling the visual appearance of cells in histopathology images.
abstract: Detection and classification of cells in histological images is a challenging task because of the large intra-class variation in the visual appearance of various types of biological cells. In this paper, we propose a discriminative dictionary learning paradigm, termed as Cell Words, for modelling the visual appearance of cells which includes colour, shape, texture and context in a unified manner. The proposed framework is capable of distinguishing mitotic cells from non-mitotic cells (apoptotic, necrotic, epithelial) in breast histology images with high accuracy.
authors.affiliation: College of Engineering, Qatar University, Doha, Qatar; Department of Computer Science, University of Warwick, UK. Electronic address: sirinukun.korsuk@gmail.com.
authors.forename: Korsuk
authors.initials: K
authors.lastname: Sirinukunwattana
authors.affiliation: College of Engineering, Qatar University, Doha, Qatar; Department of Computer Science, University of Warwick, UK. Electronic address: adnan.mujahid@gmail.com.
authors.forename: Adnan M
authors.initials: AM
authors.lastname: Khan
authors.affiliation: College of Engineering, Qatar University, Doha, Qatar; Department of Computer Science, University of Warwick, UK. Electronic address: nasir.rajpoot@ieee.org.
authors.forename: Nasir M
authors.initials: NM
authors.lastname: Rajpoot
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000145:classification* / Q000473:pathology*; D002467:Cell Nucleus / Q000473:pathology*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008853:Microscopy / Q000379:methods*; D008938:Mitosis; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D009626:Terminology as Topic
keywords: Dictionary learning; Histopathology image analysis; Mitotic cell detection; Visual appearance modelling of cells