Retinal image analytics: a complete framework from segmentation to diagnosis.
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- Type
- article
- Published
- 2015-05-01
- Cited by
- 6
- References
- 114
- OpenAlex
- https://openalex.org/W2526758055
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:63273887
Keywords
Computer science, Segmentation, Analytics, Artificial intelligence, Image segmentation
References
- Learning Fully-Connected CRFs for Blood Vessel Segmentation in Retinal Images
- Analysis of Underlying Causes of Inter-expert Disagreement in Retinopathy of Prematurity Diagnosis
- Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response
- An empirical study of the naive Bayes classifier
- Information Theory: 1948-1998 - Guest Editorial
- A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity
- Functional modifications of retinal images in quantitative plus disease diagnosis of retinopathy of prematurity
- Plus disease in retinopathy of prematurity: diagnostic impact of field of view
- Interexpert agreement of plus disease diagnosis in retinopathy of prematurity.
- Pattern Recognition and Machine Learning
- Analysis of shape assumptions in 3D reconstruction of retina from multiple fundus images
- Curcumin induces cell death without oligonucleosomal DNA fragmentation in quiescent and proliferating human CD8+ cells.
- Evaluation of 3-D Shape Reconstruction of Retinal Fundus
- 3D fundus pattern reconstruction and display from multiple fundus images
- Visual exploration of data by using multidimensional scaling on multicore CPU, GPU, and MPI cluster
- Ridges for image analysis
- Molecular dynamics multidimensional scaling
- OBSERVER AND FEATURE ANALYSIS ON DIAGNOSIS OF RETINOPATHY OF PREMATURITY
- An Interior Point Algorithm for Large-Scale Nonlinear Programming
- Retinal image mosaicing using the radial distortion correction model
Cited by
- A Severity Score for Retinopathy of Prematurity
- Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach
- Fast and Accurate Ranking Regression
- Spectral Ranking Regression
- Current and future roles of artificial intelligence in retinopathy of prematurity
- Deep Spectral Ranking
- Learning from class and comparison labels
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