title: Stain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour Representation.
abstract: Stain colour estimation is a prominent factor of the analysis pipeline in most of histology image processing algorithms. Providing a reliable and efficient stain colour deconvolution approach is fundamental for robust algorithm. In this paper, we propose a novel method for stain colour deconvolution of histology images. This approach statistically analyses the multi-resolutional representation of the image to separate the independent observations out of the correlated ones. We then estimate the stain mixing matrix using filtered uncorrelated data. We conducted an extensive set of experiments to compare the proposed method to the recent state of the art methods and demonstrate the robustness of this approach using three different datasets of scanned slides, prepared in different labs using different scanners.
authors.affiliation: Department of Computer Science, University of Warwick, Coventry, United Kingdom.|Department of Computer Science, Princess Nourah University, Riyadh, Kingdom of Saudi Arabia.
authors.forename: Najah
authors.initials: N
authors.lastname: Alsubaie
authors.affiliation: Department of Computer Science, University of Warwick, Coventry, United Kingdom.
authors.forename: Nicholas
authors.initials: N
authors.lastname: Trahearn
authors.affiliation: Department of Computer Science, University of Warwick, Coventry, United Kingdom.
authors.forename: Shan E Ahmed
authors.initials: SE
authors.lastname: Raza
authors.affiliation: Department of Histopathology, University Hospitals Coventry and Warwickshire, Coventry, United Kingdom.
authors.forename: David
authors.initials: D
authors.lastname: Snead
authors.affiliation: Department of Computer Science, University of Warwick, Coventry, United Kingdom.
authors.forename: Nasir M
authors.initials: NM
authors.lastname: Rajpoot
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000175:diagnosis / Q000378:metabolism / Q000473:pathology; D003110:Colonic Neoplasms / Q000175:diagnosis / Q000378:metabolism / Q000473:pathology; D003116:Color; D004396:Coloring Agents / Q000493:pharmacokinetics*; D004801:Eosine Yellowish-(YS) / Q000493:pharmacokinetics; D005260:Female; D006416:Hematoxylin / Q000493:pharmacokinetics; D006652:Histological Techniques / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008175:Lung Neoplasms / Q000175:diagnosis / Q000378:metabolism / Q000473:pathology; D015233:Models, Statistical; D013194:Staining and Labeling / Q000379:methods / Q000706:statistics & numerical data
chemical_list: D004396:Coloring Agents; D004801:Eosine Yellowish-(YS); D006416:Hematoxylin