PMID- 27579177
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20160831
LR  - 20200929
IS  - 2090-004X (Print)
IS  - 2090-0058 (Electronic)
IS  - 2090-004X (Linking)
VI  - 2016
DP  - 2016
TI  - Multivendor Spectral-Domain Optical Coherence Tomography Dataset, Observer 
      Annotation Performance Evaluation, and Standardized Evaluation Framework for 
      Intraretinal Cystoid Fluid Segmentation.
PG  - 3898750
LID - 10.1155/2016/3898750 [doi]
LID - 3898750
AB  - Development of image analysis and machine learning methods for segmentation of 
      clinically significant pathology in retinal spectral-domain optical coherence 
      tomography (SD-OCT), used in disease detection and prediction, is limited due to 
      the availability of expertly annotated reference data. Retinal segmentation 
      methods use datasets that either are not publicly available, come from only one 
      device, or use different evaluation methodologies making them difficult to 
      compare. Thus we present and evaluate a multiple expert annotated reference 
      dataset for the problem of intraretinal cystoid fluid (IRF) segmentation, a key 
      indicator in exudative macular disease. In addition, a standardized framework for 
      segmentation accuracy evaluation, applicable to other pathological structures, is 
      presented. Integral to this work is the dataset used which must be fit for 
      purpose for IRF segmentation algorithm training and testing. We describe here a 
      multivendor dataset comprised of 30 scans. Each OCT scan for system training has 
      been annotated by multiple graders using a proprietary system. Evaluation of the 
      intergrader annotations shows a good correlation, thus making the reproducibly 
      annotated scans suitable for the training and validation of image processing and 
      machine learning based segmentation methods. The dataset will be made publicly 
      available in the form of a segmentation Grand Challenge.
FAU - Wu, Jing
AU  - Wu J
AD  - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of 
      Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
FAU - Philip, Ana-Maria
AU  - Philip AM
AD  - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of 
      Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
FAU - Podkowinski, Dominika
AU  - Podkowinski D
AD  - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of 
      Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
FAU - Gerendas, Bianca S
AU  - Gerendas BS
AD  - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of 
      Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
FAU - Langs, Georg
AU  - Langs G
AD  - Christian Doppler Laboratory for Ophthalmic Image Analysis, Computational Imaging 
      Research Lab, Department of Biomedical Imaging and Image-Guided Therapy, Medical 
      University of Vienna, Vienna, Austria.
FAU - Simader, Christian
AU  - Simader C
AD  - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of 
      Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
FAU - Waldstein, Sebastian M
AU  - Waldstein SM
AUID- ORCID: 0000-0002-8420-2763
AD  - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of 
      Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
FAU - Schmidt-Erfurth, Ursula M
AU  - Schmidt-Erfurth UM
AUID- ORCID: 0000-0002-7788-7311
AD  - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of 
      Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
LA  - eng
PT  - Journal Article
DEP - 20160804
PL  - United States
TA  - J Ophthalmol
JT  - Journal of ophthalmology
JID - 101524199
PMC - PMC4989130
EDAT- 2016/09/01 06:00
MHDA- 2016/09/01 06:01
PMCR- 2016/08/04
CRDT- 2016/09/01 06:00
PHST- 2015/12/23 00:00 [received]
PHST- 2016/06/29 00:00 [accepted]
PHST- 2016/09/01 06:00 [entrez]
PHST- 2016/09/01 06:00 [pubmed]
PHST- 2016/09/01 06:01 [medline]
PHST- 2016/08/04 00:00 [pmc-release]
AID - 10.1155/2016/3898750 [doi]
PST - ppublish
SO  - J Ophthalmol. 2016;2016:3898750. doi: 10.1155/2016/3898750. Epub 2016 Aug 4.