title: Performance evaluation of automated segmentation software on optical coherence tomography volume data.
abstract: Over the past two decades a significant number of OCT segmentation approaches have been proposed in the literature. Each methodology has been conceived for and/or evaluated using specific datasets that do not reflect the complexities of the majority of widely available retinal features observed in clinical settings. In addition, there does not exist an appropriate OCT dataset with ground truth that reflects the realities of everyday retinal features observed in clinical settings. While the need for unbiased performance evaluation of automated segmentation algorithms is obvious, the validation process of segmentation algorithms have been usually performed by comparing with manual labelings from each study and there has been a lack of common ground truth. Therefore, a performance comparison of different algorithms using the same ground truth has never been performed. This paper reviews research-oriented tools for automated segmentation of the retinal tissue on OCT images. It also evaluates and compares the performance of these software tools with a common ground truth.
authors.affiliation: Bascom Palmer Eye Institute, University of Miami, 900 NW 17th Street, Miami, FL 33136, United States.
authors.forename: Jing
authors.initials: J
authors.lastname: Tian
authors.affiliation: Semmelweis University, 39 Maria Street, 1085, Budapest, Hungary.
authors.forename: Boglarka
authors.initials: B
authors.lastname: Varga
authors.affiliation: Semmelweis University, 39 Maria Street, 1085, Budapest, Hungary.
authors.forename: Erika
authors.initials: E
authors.lastname: Tatrai
authors.affiliation: Semmelweis University, 39 Maria Street, 1085, Budapest, Hungary.
authors.forename: Palya
authors.initials: P
authors.lastname: Fanni
authors.affiliation: Semmelweis University, 39 Maria Street, 1085, Budapest, Hungary.
authors.forename: Gabor Mark
authors.initials: GM
authors.lastname: Somfai
authors.affiliation: Bascom Palmer Eye Institute, University of Miami, 900 NW 17th Street, Miami, FL 33136, United States.
authors.forename: William E
authors.initials: WE
authors.lastname: Smiddy
authors.affiliation: Bascom Palmer Eye Institute, University of Miami, 900 NW 17th Street, Miami, FL 33136, United States. dcabrera2@med.miami.edu.
authors.forename: Delia Cabrera
authors.initials: DC
authors.lastname: Debuc
mesh_terms: D000465:Algorithms; D006801:Humans; D015203:Reproducibility of Results; D012160:Retina / Q000000981:diagnostic imaging*; D012984:Software; D041623:Tomography, Optical Coherence
keywords: Optical coherence tomography; Spectralis SD-OCT; automated segmentation software; ground truth; performance evaluation