Literature DB >> 27573541

Agreement among ophthalmologists in marking the optic disc and optic cup in fundus images.

Ahmed Almazroa1,2, Sami Alodhayb3, Essameldin Osman4, Eslam Ramadan5, Mohammed Hummadi6, Mohammed Dlaim7, Muhannad Alkatee8, Kaamran Raahemifar9, Vasudevan Lakshminarayanan2.   

Abstract

The purpose of this paper was to study the agreement between six ophthalmologists who manually marked the optic nerve head using fundus images. Four different parameters were considered from the manual marking images: (1) disc (area and centroid), (2) cup (area and centroid), (3) horizontal and vertical cup-to-disc ratios, and (4) including the previous two parameters for both horizontal and vertical cup-to-disc ratios, and investigated the comprehensive agreement and accuracy among all the ophthalmologists. The best agreement percentage for all the parameters combined was between ophthalmologists number one and three for 44 % of images, and the best accuracy was for ophthalmologist number one with 77.4 % of 315 total tested images. Our analysis shows that more than half of the images in the dataset were not agreed upon when considering all the parameters together.

Keywords:  Fundus images; Manual marking; Ophthalmology; Optic cup; Optic disc

Mesh:

Year:  2016        PMID: 27573541     DOI: 10.1007/s10792-016-0329-x

Source DB:  PubMed          Journal:  Int Ophthalmol        ISSN: 0165-5701            Impact factor:   2.031


  6 in total

1.  A new digital optic disc stereo camera: intraobserver and interobserver repeatability of optic disc measurements.

Authors:  G N Shuttleworth; C H Khong; J P Diamond
Journal:  Br J Ophthalmol       Date:  2000-04       Impact factor: 4.638

2.  A comparison of stereoscopic and monoscopic evaluation of optic disc topography using a digital optic disc stereo camera.

Authors:  B Parkin; G Shuttleworth; M Costen; C Davison
Journal:  Br J Ophthalmol       Date:  2001-11       Impact factor: 4.638

3.  Agreement between clinicians and an image analyzer in estimating cup-to-disc ratios.

Authors:  R Varma; G L Spaeth; W C Steinmann; L J Katz
Journal:  Arch Ophthalmol       Date:  1989-04

4.  Agreement in assessing optic discs with a digital stereoscopic optic disc camera (Discam) and Heidelberg retina tomograph.

Authors:  Velota C T Sung; Anna Bhan; Stephen A Vernon
Journal:  Br J Ophthalmol       Date:  2002-02       Impact factor: 4.638

5.  Inter- and intraobserver variation in the analysis of optic disc images: comparison of the Heidelberg retina tomograph and computer assisted planimetry.

Authors:  D F Garway-Heath; D Poinoosawmy; G Wollstein; A Viswanathan; D Kamal; L Fontana; R A Hitchings
Journal:  Br J Ophthalmol       Date:  1999-06       Impact factor: 4.638

6.  Agreement between clinicians and a confocal scanning laser ophthalmoscope in estimating cup/disk ratios.

Authors:  L Zangwill; S Shakiba; J Caprioli; R N Weinreb
Journal:  Am J Ophthalmol       Date:  1995-04       Impact factor: 5.258

  6 in total
  9 in total

Review 1.  Machine Learning and Deep Learning Techniques for Optic Disc and Cup Segmentation - A Review.

Authors:  Mohammed Alawad; Abdulrhman Aljouie; Suhailah Alamri; Mansour Alghamdi; Balsam Alabdulkader; Norah Alkanhal; Ahmed Almazroa
Journal:  Clin Ophthalmol       Date:  2022-03-11

2.  Identifying Those at Risk of Glaucoma: A Deep Learning Approach for Optic Disc and Cup Segmentation and Their Boundary Analysis.

Authors:  Jongwoo Kim; Loc Tran; Tunde Peto; Emily Y Chew
Journal:  Diagnostics (Basel)       Date:  2022-04-24

3.  Local Label Point Correction for Edge Detection of Overlapping Cervical Cells.

Authors:  Jiawei Liu; Huijie Fan; Qiang Wang; Wentao Li; Yandong Tang; Danbo Wang; Mingyi Zhou; Li Chen
Journal:  Front Neuroinform       Date:  2022-05-12       Impact factor: 3.739

4.  An Automatic Image Processing System for Glaucoma Screening.

Authors:  Ahmed Almazroa; Sami Alodhayb; Kaamran Raahemifar; Vasudevan Lakshminarayanan
Journal:  Int J Biomed Imaging       Date:  2017-08-29

5.  Optic disc segmentation for glaucoma screening system using fundus images.

Authors:  Ahmed Almazroa; Weiwei Sun; Sami Alodhayb; Kaamran Raahemifar; Vasudevan Lakshminarayanan
Journal:  Clin Ophthalmol       Date:  2017-11-15

6.  Angular Location of Retinal Nerve Fiber Layer Defect: Association With Myopia and Open-Angle Glaucoma.

Authors:  Eunoo Bak; Kyoung Min Lee; Martha Kim; Sohee Oh; Seok Hwan Kim
Journal:  Invest Ophthalmol Vis Sci       Date:  2020-09-01       Impact factor: 4.799

7.  Artificial intelligence integrated smartphone fundus camera for screening the glaucomatous optic disc.

Authors:  Toshit Varshney; Divya R Parthasarathy; Viney Gupta
Journal:  Indian J Ophthalmol       Date:  2021-12       Impact factor: 1.848

8.  A novel adaptive cubic quasi-Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup.

Authors:  Yan Liu; Maojun Zhang; Zhiwei Zhong; Xiangrong Zeng
Journal:  Med Phys       Date:  2022-09-03       Impact factor: 4.506

9.  Optic cup segmentation: type-II fuzzy thresholding approach and blood vessel extraction.

Authors:  Ahmed Almazroa; Sami Alodhayb; Kaamran Raahemifar; Vasudevan Lakshminarayanan
Journal:  Clin Ophthalmol       Date:  2017-05-04
  9 in total

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