Automatic classification of pathological myopia in retinal fundus images using PAMELA

Jiang Liu, Damon W.K. Wong, Ngan Meng Tan, Zhuo Zhang, Shijian Lu, Joo Hwee Lim, Huiqi Li, Seang Mei Saw, Louis Tong, Tien Yin Wong

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)


Pathological myopia is the seventh leading cause of blindness. We introduce a framework based on PAMELA (PAthological Myopia dEtection through peripapilLary Atrophy) for the detection of pathological myopia from fundus images. The framework consists of a pre-processing stage which extracts a region of interest centered on the optic disc. Subsequently, three analysis modules focus on detecting specific visual indicators. The optic disc tilt ratio module gives a measure of the axial elongation of the eye through inference from the deformation of the optic disc. In the texturebased ROI assessment module, contextual knowledge is used to demarcate the ROI into four distinct, clinically-relevant zones in which information from an entropy transform of the ROI is analyzed and metrics generated. In particular, the preferential appearance of peripapillary atrophy (PPA) in the temporal zone compared to the nasal zone is utilized by calculating ratios of the metrics. The PPA detection module obtains an outer boundary through a level-set method, and subtracts this region against the optic disc boundary. Temporal and nasal zones are obtained from the remnants to generate associated hue and color values. The outputs of the three modules are used as in a SVM model to determine the presence of pathological myopia in a retinal fundus image. Using images from the Singapore Eye Research Institute, the proposed framework reported an optimized accuracy of 90% and a specificity and sensitivity of 0.85 and 0.95 respectively, indicating promise for the use of the proposed system as a screening tool for pathological myopia.

Original languageEnglish
Title of host publicationMedical Imaging 2010
Subtitle of host publicationComputer-Aided Diagnosis
EditorsRonald M. Summers, Nico Karssemeijer
ISBN (Electronic)9780819480255
Publication statusPublished - 2010
Externally publishedYes
EventMedical Imaging 2010: Computer-Aided Diagnosis - San Diego, United States
Duration: 16 Feb 201018 Feb 2010

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceMedical Imaging 2010: Computer-Aided Diagnosis
Country/TerritoryUnited States
CitySan Diego


  • computer aided detection
  • fundus image
  • Pathological myopia
  • peripapillary atrophy

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Automatic classification of pathological myopia in retinal fundus images using PAMELA'. Together they form a unique fingerprint.

Cite this