Automated feature extraction in color retinal images by a model based approach

No abstract is available for this paper.

• Publication year

  2004

• Venue

  IEEE Transactions on Biomedical Engineering

• Publication date

  2004-01-30

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers
  DOI 10.1109/TBME.2003.820400PMID 14765697
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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  2003cited by this paper
• Abnormality detection in automated mass screening system of diabetic retinopathy

  2001cited by this paper
• Fast and robust optic disc detection using pyramidal decomposition and Hausdorff-based template matching

  2001influential reference
• Hybrid fuzzy image processing for situation assessment [diabetic retinopathy]

  2000cited by this paper
• Hybrid fuzzy image processing for situation assessment.

  2000cited by this paper
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  2000cited by this paper
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  2000cited by this paper
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  1999cited by this paper
• Identifying the neuroretinal rim boundary using dynamic contours

  1999cited by this paper
• Identification of the optic disk boundary in retinal images using active contours

  1999cited by this paper
• Automatic image analysis of fundus photograph

  1997influential reference
• A multiple active contour model for cardiac boundary detection on echocardiographic sequences

  1996cited by this paper
• Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool.

  1996cited by this paper
• Active Shape Models-Their Training and Application

  1995cited by this paper
• Automated detection and quantification of retinal exudates

  1993cited by this paper
• Integrating stereo and photometric stereo to monitor the development of glaucoma

  1991cited by this paper
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  1991cited by this paper
• Eigenfaces for Recognition

  1991cited by this paper
• Two-Dimensional Signal and Image Processing

  1989cited by this paper
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  1989cited by this paper
• Zero-crossing interval correction in tracing eye-fundus blood vessels

  1988influential reference
• A Computational Approach to Edge Detection

  1986cited by this paper
• A computer method of understanding ocular fundus images

  1982cited by this paper
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  1976cited by this paper
• Automatic Diagnosis of Color Fundus Photographs Using TV Camera System

  1975cited by this paper

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