title: Automated classification of four types of developmental odontogenic cysts.
abstract: Odontogenic cysts originate from remnants of the tooth forming epithelium in the jaws and gingiva. There are various kinds of such cysts with different biological behaviours that carry different patient risks and require different treatment plans. Types of odontogenic cysts can be distinguished by the properties of their epithelial layers in H&E stained samples. Herein we detail a set of image features for automatically distinguishing between four types of odontogenic cyst in digital micrographs and evaluate their effectiveness using two statistical classifiers - a support vector machine (SVM) and bagging with logistic regression as the base learner (BLR). Cyst type was correctly predicted from among four classes of odontogenic cysts between 83.8% and 92.3% of the time with an SVM and between 90 ± 0.92% and 95.4 ± 1.94% with a BLR. One particular cyst type was associated with the majority of misclassifications. Omission of this cyst type from the data set improved the classification rate for the remaining three cyst types to 96.2% for both SVM and BLR.
authors.affiliation: Department of Computer Science, University of Saskatchewan, 110 Science Place, Saskatoon, SK, Canada S7N 5C9. Electronic address: aaf955@mail.usask.ca.
authors.forename: A
authors.initials: A
authors.lastname: Frydenlund
authors.affiliation: Department of Computer Science, University of Saskatchewan, 110 Science Place, Saskatoon, SK, Canada S7N 5C9. Electronic address: eramian@cs.usask.ca.
authors.forename: M
authors.initials: M
authors.lastname: Eramian
authors.affiliation: Department of Pathology, Schulich School of Medicine and Dentistry, Dental Sciences Building, Room 4044, University of Western Ontario, London, ON, Canada N6A 5C1. Electronic address: Tom.Daley@schulich.uwo.ca.
authors.forename: T
authors.initials: T
authors.lastname: Daley
mesh_terms: D000465:Algorithms; D004848:Epithelium / Q000473:pathology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009807:Odontogenic Cysts / Q000145:classification* / Q000473:pathology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D060388:Support Vector Machine
keywords: Classification; Dentigerous; Glandluar; Image processing; Keratocyst; Lateral periodontal; Machine learning; Odontogenic cysts; Oral cysts